Unity Analytics Jobs in Bengaluru

Mobile App and Observability SDK Engineer Experience: 3 6 Years Location: Bengaluru About VuNet VuNet is a pioneer in Business Journey Observability, revolutionizing the financial services industry with Big Data and Machine Learning. Our cutting-edge platform offers end-to-end visibility into customer journeys, driving proactive issue resolution, operational resilience, and superior user satisfaction. With over 28 billion digital transactions monitored monthly touching 400 million users worldwide we re already powering leading banks and financial institutions across India and MEA. VuNet is Series B funded, part of NASSCOM DeepTech Club, and recognized globally by analysts like Gartner and Omdia. Your Role: Mobile App and Observability SDK Engineer At VuNet, the Product Development Team is dedicated to delivering exceptional customer experiences through scalable products. We are looking for a Mobile App and Observability SDK Engineer to join this team. In this role, you ll be at the forefront of building high-quality mobile applications and advancing our Mobile Real User Monitoring (MRUM) initiatives. You ll capture and translate mobile performance data into actionable insights, helping improve the performance and user experience of mobile apps across various platforms. If you re passionate about mobile engineering, user experience, and observability this role offers a unique opportunity to merge these interests into a groundbreaking solution. Roles & Responsibilities Mobile Application Development: Design, develop, and maintain robust, high-performance mobile applications for iOS and Android using Swift, Kotlin, Flutter, or React Native. Testing & Quality Assurance: Implement unit, integration, and UI testing strategies to ensure the app s quality, stability, and regression coverage. Debugging & Profiling: Identify and resolve performance bottlenecks, ANRs, crashes, and memory leaks using tools like Android Studio Profiler, Xcode Instruments, or Flipper. Crash Analysis & Reporting: Integrate crash analytics tools and develop efficient incident tracking and resolution workflows. Performance Monitoring & Insights: Leverage telemetry, profiling, and analytics data to enhance app performance, responsiveness, and overall user experience. Observability Collaboration: Work with SRE and backend teams to export performance metrics, logs, and traces from mobile clients into centralized observability platforms. Code Quality: Write clean, modular, and well-documented code, adhering to best practices in mobile development and SDK maintenance. What You Bring Mandatory Skills: Mobile App Development: 3+ years of hands-on experience in mobile app development using Flutter, React Native, Swift, or Kotlin (experience in at least two of these). App Lifecycle & Performance: Strong understanding of mobile app lifecycle, UI rendering, asynchronous processing, state management, and performance optimization (ANRs, memory management, network latency). Debugging & Profiling Tools: Proficiency in debugging, profiling, and testing mobile applications using tools like Android Studio Profiler, Xcode Instruments, or Flipper. Crash Analytics: Experience integrating and using crash analytics and reporting tools. CI/CD & SDK Versioning: Familiarity with CI/CD pipelines, automated testing, and SDK versioning. Performance Instrumentation: Interest in observability, monitoring, and performance instrumentation with a willingness to learn OpenTelemetry and RUM concepts. Problem-Solving Mindset: Strong analytical and debugging skills, focused on enhancing performance and reliability. Nice-to-Have Skills: OpenTelemetry & SDKs: Exposure to OpenTelemetry SDKs or other instrumentation frameworks for capturing telemetry data (e.g., traces, metrics, logs). Mobile Observability: Familiarity with mobile observability backends. Session Replay & Mobile Analytics: Knowledge of session replay, user behavior tracking, or mobile analytics SDKs. SRE & Monitoring Practices: Understanding of SRE principles, monitoring best practices, and golden signals. Open Source Contributions: Contributions to open-source SDKs or mobile performance tools. Life at VuNet: At VuNet, we re building a world-class observability platform proudly Made in India. We re just getting started, and we re looking for people like you to join us in tackling some of the most complex challenges in the digital world. Our team is filled with passionate problem-solvers who thrive in a collaborative, fast-paced environment. We embrace continuous learning, adapt quickly, and stay ahead of emerging technologies like Gen AI. If you re looking to work on cutting-edge technology, make a real impact, and grow with a supportive team, you ll feel right at home here at VuNet. Benefits: Comprehensive health insurance coverage for you, your parents, and dependents. Mental wellness and 1:1 counseling support. A learning culture that promotes growth, innovation, and ownership. A transparent, inclusive, and high-trust workplace culture. Access to Gen AI and integrated technology workspaces. Supportive career development programs to expand your skills with various training opportunities.

Position: Intern, Analytics Engineer Location: Bangalore, India Duration: Minimum 6 months commitment About Workato Workato is a leader in enterprise orchestration, helping businesses worldwide connect data, processes, and applications through an AI-powered platform. Trusted by 400,000+ customers, Workato enables organizations to drive efficiency and agility in today s fast-changing landscape. Recognized by Business Insider, Forbes, Deloitte, and Quartz for its innovation and workplace culture, Workato fosters a flexible, trust-based environment. Opportunity to work in a vibrant, innovative culture that balances productivity and self-care. Be part of a fast-growing tech company ranked among the fastest-growing and best for remote work. Take ownership and collaborate with passionate teams driving meaningful business impact. Your Responsibilities Build efficient data models that support analysis and key metrics for internal stakeholders. Optimize analytical workflows with macros, scripts, and packages to improve productivity. Design and develop frontend analytics solutions reports, dashboards, and interfaces to drive data-informed decision making. Contribute to Data Governance initiatives by improving processes. Collaborate with business stakeholders to understand data challenges and develop actionable solutions. Support operational needs across various business units. What You ll Need Currently pursuing a degree in Business Analytics, Information Systems, or a related field. Strong understanding of database concepts (e.g., Entity-Relationship Diagrams). Intermediate SQL skills including joins, CTEs, and window functions. Experience with Business Intelligence tools such as Tableau, Power BI, or Sigma Computing. Experience or familiarity with ELT scripting and tools like Snowflake and dbt Cloud is a plus. Personal Traits Fast learner, adaptable, and comfortable in a fast-paced environment. Excellent organizational and multitasking abilities. Strong analytical skills with clear verbal and written communication to present insights effectively. Collaborative team player with a growth mindset and proactive attitude.

Job Title: Senior Product Engineer Location: Bengaluru, Karnataka, India Department: MathCompany India (Product Engineering) Experience: 4.5 to 7 years About TheMathCompany TheMathCompany (MathCo ) is a global Enterprise AI and Analytics company, empowering Fortune 500 and Global 2000 companies with custom-built AI products and platforms. We blend deep domain knowledge, analytics, and cutting-edge technology to solve real-world business challenges. Our proprietary platform NucliOS powers smart, scalable solutions, enabling rapid and sustainable transformation. Join our vibrant team of engineers, data scientists, and designers who are building transformative enterprise products that deliver 3x 5x ROI within their first year of launch. Role Overview As a Senior Product Engineer, you ll play a key role in developing, maintaining, and optimizing full-stack web applications. This is a hands-on role where you'll be responsible for designing both backend services and frontend interfaces, while ensuring high-quality, scalable, and secure performance. You ll collaborate cross-functionally with product managers, designers, and fellow engineers to deliver enterprise-grade software products. This is a great opportunity to contribute to impactful solutions while expanding your technical leadership in a high-growth, agile environment. Key Responsibilities Full Stack Development Design, build, and manage REST APIs, backend services, and deployment pipelines. Develop responsive UI components using modern JavaScript frameworks (e.g., React, Angular, Vue). Architect and manage application databases, handling data modeling, integration, and optimization. Implement secure authentication and authorization protocols (e.g., OAuth2, OIDC, SAML). Own the end-to-end development lifecycle from concept through to deployment and support. Product Development & Collaboration Partner with product managers and UI/UX designers to convert requirements into scalable technical solutions. Drive product performance and usability by identifying opportunities for optimization. Act as a key technical stakeholder, participating in product roadmap discussions and sprint planning. Code Quality & Testing Write clean, maintainable, and efficient code following SOLID principles and industry best practices. Conduct peer code reviews and mentor junior engineers. Develop and maintain unit tests, integration tests, and ensure comprehensive test coverage. Contribute to CI/CD pipelines and participate in deployment and infrastructure automation. Technical Skills Required 4.5 7 years of experience in full-stack product development. Strong programming in Python or Node.js (bonus: Rust/Go). Advanced front-end development with JavaScript, HTML, CSS, and frameworks like React, Vue, or Angular. Strong grasp of object-oriented design, SOLID principles, and modern design patterns. Experience designing and implementing relational (PostgreSQL, MySQL) and NoSQL (MongoDB) databases. Proficient in cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with infrastructure tools: Docker, Kubernetes, Terraform, CloudWatch. Comfortable using version control and project tools like GitHub, Azure DevOps, and JIRA. Soft Skills & Work Style Strong problem-solving mindset and high attention to detail. Effective collaborator and communicator, both within the engineering team and cross-functionally. Familiarity with Agile methodologies (SCRUM), sprint cycles, and backlog grooming. Ability to juggle multiple tasks and deliver under tight deadlines in a fast-paced environment. Work on innovative products delivering real ROI for Fortune 500 companies. Be part of a people-first culture that values transparency, curiosity, and collaboration. Accelerate your career in an organization that rewards initiative and impact. Get access to state-of-the-art tools, resources, and learning programs. Apply now and join us in redefining how enterprise software gets built!

Job Title: Software Engineer Unity Location: Bangalore North, Karnataka, India Industry: Entertainment / Mobile Gaming Job Type: Full-Time Experience Required: 3 5 Years About Us: We are one of India s most exciting and fast-growing mobile gaming companies. Since our founding in 2014, we ve partnered with Modern Times Group (MTG) to build a global presence in casual mobile gaming. Our chart-topping games including Daily Themed Crossword, WordTrip, WordJam, WordWars, WordTrek, TileMatch, and Jigsaw reach millions of players across the world. We combine compelling gameplay with powerful tech and analytics to drive success at scale. Position Summary: We are looking for an experienced Unity Developer to join our fast-paced game development team. You will be responsible for building and optimizing front-end gameplay features and user experiences for millions of players globally. If you're passionate about gaming, thrive in dynamic environments, and enjoy solving unique challenges every day, this role is for you. Key Responsibilities: Design, build, and maintain efficient, reusable, and reliable Unity code. Translate game design documents into functional game features. Implement and fine-tune game mechanics, UI elements, and interactions. Optimize memory and performance for a wide range of mobile devices. Collaborate with artists, designers, and other developers to deliver polished, high-quality gaming experiences. Continuously improve code quality, structure, and development workflows. Ensure cross-platform (iOS/Android) performance and compatibility. Requirements: Technical Requirements: 3+ years of professional experience in Unity game development. Strong programming skills in C# with a deep understanding of object-oriented programming. Solid understanding of data structures, algorithms, and design patterns. Experience with Unity systems such as scripting, animation, particle systems, GUI, and asset management. Knowledge of game physics, UI/UX implementation, and session management. Familiarity with architectural patterns and clean coding practices. Nice-to-Have: Experience with 2D game development. Experience working on a published or well-known mobile title. Experience with level design and in-game content planning. Proficiency in optimizing games for older hardware and lower-end devices. What We re Looking For: Highly creative and collaborative mindset. Quick learner who can adapt to changing technologies and project needs. Passion for games and a strong drive to build products enjoyed by millions. Strong team player with excellent communication and problem-solving skills. Contribute to globally loved mobile games with a massive user base. Work with a passionate and talented team in a high-growth, fun environment. Be at the forefront of innovation in the mobile gaming industry. Learn fast, ship fast, and grow your impact as a Unity developer.

Job Title: Senior Manager Data Science, Data Modelling & Analytics Location: Bengaluru Department: Insights & Analysis About the Role: As a Senior Manager, you will lead a team of data scientists and analysts, driving the development and deployment of advanced analytics solutions that enable data-driven decision-making. This role blends strategic leadership with hands-on technical expertise, playing a critical part in delivering impactful insights and analytics across the organization. Key Responsibilities: Hands-On Technical Contribution: Design, develop, and deploy advanced machine learning models and statistical analyses to address complex business challenges. Utilize Python, R, SQL, and other tools to manipulate data and build predictive models. Manage end-to-end data pipelines including collection, cleaning, transformation, and visualization. Collaborate with IT and data engineering teams to integrate analytics solutions into production environments. Provide thought leadership on analytics solutions and metrics aligned with business needs. Team Leadership & Development: Lead, mentor, and manage a team of data scientists and analysts, fostering collaboration and innovation. Guide career development, conduct performance evaluations, and promote skill enhancement. Encourage continuous learning and adoption of best practices in data science methodologies. Strategic Planning & Execution: Collaborate with senior leadership to define and execute data science strategy aligned with business goals. Identify and prioritize high-impact analytics projects that deliver business value. Ensure timely and quality delivery of analytics solutions balancing scope and resources. Client Engagement & Stakeholder Management: Act as primary point of contact for clients, translating business challenges into data science solutions. Lead client presentations, workshops, and discussions, effectively communicating complex analytical concepts. Build and maintain strong client relationships, managing expectations and deliverables. Deliver regular reports and dashboards to senior management and stakeholders. Bridge communication between technical teams and business units to align analytics initiatives with organizational objectives. Cross-Functional Collaboration: Work closely with Business Intelligence, Market Analytics, and Data Engineering teams to integrate analytics into business processes. Translate complex insights into actionable recommendations for non-technical stakeholders. Facilitate data-driven workshops and presentations across the organization. Collaborate with support functions to provide timely leadership updates on operational metrics. Governance & Compliance: Ensure compliance with data governance policies and data privacy regulations (e.g., GDPR, PDPA). Implement best practices for data quality, security, and ethical analytics use. Stay abreast of industry trends and regulatory changes affecting data analytics. Qualifications: Education: Bachelor s or Master s degree in Data Science, Computer Science, Statistics, Mathematics, or related field. Experience: 12+ years in advanced analytics, data science, data modelling, machine learning, or related fields. 5+ years in leadership roles managing analytics teams and projects. Experience in BFSI, Hi-Tech, Retail, or Healthcare industries preferred. Experience with media data is a plus. Technical Skills: Proficiency in Python, R, SQL. Experience with data visualization tools like Tableau, Power BI. Familiarity with big data platforms (Hadoop, Spark) and cloud services (AWS, GCP, Azure). Strong knowledge of machine learning frameworks and libraries. Soft Skills: Excellent analytical and problem-solving skills. Strong communication and interpersonal abilities. Ability to influence and drive organizational change. Strategic thinker focused on business outcomes. Desirable Expertise: Advanced Analytics Techniques: Descriptive Analytics: Statistical analysis, data visualization. Predictive Analytics: Regression, time series forecasting, classification, market mix modelling. Prescriptive Analytics: Optimization, simulation modelling. Text Analytics: NLP, sentiment analysis. Machine Learning Techniques: Supervised Learning: Linear/logistic regression, decision trees, random forests, gradient boosting, SVMs. Unsupervised Learning: Clustering, PCA, anomaly detection. Reinforcement Learning: Q-learning, deep Q-networks. Generative AI & Large Language Models (Good to Have): Experience with GPT, Gemini, LLAMA, etc. for text generation, summarization, conversational agents. Hyperparameter tuning, prompt engineering, embeddings, fine-tuning. Additional Skills: Proficiency with Tableau or Power BI (advanced visualization). Strong data management, structuring, and harmonization skills.

Java Full Stack Developer Bangalore Location: Bangalore (Bengaluru), India Experience: 2 to 12 Years Industry: IT Software Software Development Education: BE / BTech / MCA preferred Employment Type: Full-time Role Category: Software Development Role: Java Full Stack Developer Job Overview: We are looking for a skilled Java Full Stack Developer to join our dynamic team in Bangalore. The ideal candidate will have hands-on experience in developing web and enterprise applications using Java, AngularJS or React, and microservices architecture. You will be involved in full-cycle development including UI/UX, backend logic, databases, and deployment on cloud platforms. Key Responsibilities: Design and develop scalable, secure, and high-performance software applications Translate UX designs into responsive and intuitive UI components Implement business logic and application workflows using Java/J2EE and Spring Boot Develop and integrate APIs and microservices Work with NoSQL/SQL databases for data modeling and storage Deploy applications on AWS, Azure, or Google Cloud Platform (GCP) Conduct code reviews and perform unit, integration, and functional testing Maintain CI/CD pipelines and version control tools (e.g., Git, Jenkins) Create and maintain technical documentation and coding guidelines Collaborate with cross-functional teams in an agile environment Preferred Skills & Technologies: Strong programming skills in Java/J2EE, Spring Boot, and RESTful APIs Proficiency in front-end frameworks: AngularJS, React.js, or similar Experience in building microservices-based architecture Working knowledge of NoSQL databases like MongoDB or Cassandra Experience with DevOps tools and cloud platforms (AWS/Azure/GCP) Familiarity with mobile app development (iOS/Android) is a plus Exposure to Machine Learning, Cognitive Services, or Predictive Analytics is a strong advantage Soft Skills: Strong communication and collaboration skills Ability to work independently and in a team Eagerness to learn and adopt new technologies Comfortable in a fast-paced, startup-like environment Opportunity to work on cutting-edge technologies Be part of a passionate and innovative development team Flexible and collaborative work culture Growth-oriented role with leadership opportunities

Senior Manager Business Finance (B2B Distribution) Location: Bangalore, Karnataka Work Mode: Full-time, In-office Experience: 4 7 Years About Swiggy Swiggy is India s leading on-demand convenience platform, delivering everything from food and groceries to daily essentials with a tech-first approach and logistics at scale. Operating in 500+ cities with a network of over 2 lakh delivery partners, Swiggy s ecosystem is built on cutting-edge ML technologies, robust analytics, and continuous innovation enabling seamless and reliable experiences for millions of users every day. About Our B2B Business Swiggy has acquired Lynk, a leading tech-driven distributor in the B2B FMCG space. Operating across major metros Chennai, Hyderabad, Mumbai, Ahmedabad, Bangalore, Delhi, and Kolkata Lynk is on a mission to redefine urban goods distribution using data-driven strategies and operational excellence. Role Overview We are looking for a highly motivated and strategic Senior Manager Business Finance to support the finance operations of our fast-scaling B2B distribution business. You will work directly with category, operations, and leadership teams to drive planning, budgeting, forecasting, financial analysis, cost optimization, and performance reporting. Key Responsibilities Lead financial planning activities, including annual budgeting, quarterly forecasts, and long-term strategic plans for the B2B vertical. Partner with category and sales teams to structure commercial proposals and optimize margin profiles. Drive target setting and performance reviews with business teams; conduct gap analysis and recommend course-correction strategies. Own and improve operational and financial MIS; ensure robust and timely reporting across key metrics. Work closely with operations to identify cost inefficiencies, drive savings initiatives, and enable sustainable unit economics. Support pricing and negotiation strategy using financial modeling and profitability frameworks. Automate reporting systems and dashboards using BI tools; leverage SQL for data extraction and transformation. Prepare financial insights and materials for leadership reviews, including variance analysis and strategic business cases. Desired Skills & Qualifications 4 7 years of post-qualification experience in business finance, FP&A, or strategic finance roles in high-growth environments. CA or MBA in Finance/Strategy from a reputed institution preferred. Strong business acumen and experience supporting B2B or distribution operations is a plus. Proficiency in data analysis tools and platforms; knowledge of SQL and BI dashboards preferred. Excellent interpersonal and communication skills with a track record of cross-functional influence. Self-starter mindset with a passion for continuous improvement and ownership. This is a high-impact role in one of Swiggy s most ambitious business verticals. You will work at the intersection of finance, strategy, and operations, enabling the next phase of growth for Swiggy s B2B ambitions. Equal Opportunity Employer Swiggy is an equal opportunity employer. We are committed to creating an inclusive environment for all employees regardless of race, religion, gender, sexual orientation, disability status, or any other characteristic protected by law. Qualification : CA or MBA in Finance/Strategy from a reputed institution preferred.

Senior Manager Business Intelligence | Power BI | Data Strategy | SQL | Bangalore Location: Bangalore, India Reports To: Director, Business Analytics & Insights Experience: 8+ years in Business Intelligence / Analytics Leadership Industry: SaaS | Revenue Lifecycle Management | Data & Analytics About Conga: At Conga, we empower businesses to achieve transformational revenue growth by aligning teams, technology, and processes through our comprehensive Revenue Lifecycle Management solutions. We simplify complexity across contract management, order execution, fulfillment, and renewals using a unified data model built to adapt to dynamic business needs. Our culture is defined by the Conga Way a people-first framework developed with input from employees that guides everything we do from hiring to leadership to innovation. Role Overview Senior Manager, Business Intelligence: We are seeking a highly driven Senior Manager Business Intelligence to lead our Power BI development team, drive analytics strategy, and modernize how we deliver data insights across the organization. Based in Bangalore, this high-impact leadership role is responsible for building scalable reporting infrastructure, streamlining automation, and delivering clear, actionable insights for senior stakeholders and executive decision-makers. Why this role matters: This position plays a critical role in transforming business intelligence from manual reporting to dynamic, real-time dashboards using Power BI. Your contributions will shape how our business leaders consume data, identify opportunities, and make informed decisions faster and with more accuracy. Key Responsibilities: Leadership & Oversight: Manage and mentor a team of Power BI developers and data analysts, guiding prioritization, best practices, and technical problem-solving. Foster a culture of data-driven decision-making across the organization. BI Development & Data Modeling: Lead the development of interactive Power BI dashboards, leveraging advanced DAX functions and data models. Utilize SQL (preferably in Snowflake) to support backend data transformation and reporting. Stakeholder & Project Management: Collaborate with cross-functional teams, including IT and enterprise analytics, to define project scopes, business priorities, and reporting solutions. Translate ambiguous business requirements into clear, actionable technical specifications. Data Governance & Documentation: Implement and oversee data quality, security, and governance standards across all BI assets. Maintain comprehensive documentation for BI tools, data models, and business logic. Automation & Process Efficiency: Oversee automation of recurring deliverables including board reports, senior leadership dashboards, and key business performance metrics. Leverage Power Automate and other workflow tools to reduce manual effort and enhance reporting accuracy. Strategic Data Integration: Partner with enterprise data teams to improve data integration and ensure scalability and reusability of analytics assets. Qualifications: 8+ years of experience in Business Intelligence, Analytics, or Data Strategy, including team leadership. Strong hands-on experience with Power BI, DAX, and SQL (preferably with Snowflake or similar cloud platforms). Proven success in project management, requirement gathering, and stakeholder engagement across multiple business units. Bachelor s or Master s degree in Engineering, Computer Science, or related technical field. An MBA is strongly preferred. Experience in data governance, automation, and working in a SaaS or enterprise software environment is a plus. What Sets You Apart: Excellent communicator You bridge the gap between technical and non-technical stakeholders with ease. Strategic mindset You think beyond dashboards to the big picture of business impact. Problem solver You enjoy tackling complex data challenges and finding innovative solutions. Passionate leader You inspire teams, drive accountability, and bring a growth mindset to everything you do. Drive data transformation at a high-impact SaaS company. Be part of a people-first culture that values growth, innovation, and inclusivity. Work on mission-critical projects that support strategic decision-making for global leadership. Qualification : Bachelors or Masters degree in Engineering, Computer Science, or related technical field. An MBA is strongly preferred.

Job Title: Senior Solutions Engineer (Analytics, AI, Big Data, Public Cloud) Job Summary As a Senior Solutions Engineer (Analytics, AI, Big Data, Public Cloud), you will guide the technical evaluation phase in a hands-on environment throughout the sales process. You will be a technical advisor internally to the sales team and work with the product team as an advocate of your customers in the field. You will help our customers achieve tangible data-driven outcomes through the use of our Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field while finding solutions to our customers' biggest challenges in big data, analytics, data engineering, and data science problems. You will report to the Solutions Architect (SA) Manager. The Impact You Will Have You will be a Big Data Analytics expert on aspects of architecture and design. Engage with the technical community by leading presentations, workshops, seminars, and meet-ups. Lead your clients through evaluating and adopting Databricks, including hands-on Spark programming and integration with the wider cloud ecosystem. Support your customers by authoring reference architectures, how-tos, and demo applications. Integrate Databricks with 3rd-party applications to support customer architectures. Together with your Account Executive, you will form successful relationships with clients throughout your assigned territory to provide technical and business value. What We Look For Consulting, pre-sales, or post-sales experience working with external clients across a variety of industry markets. Core strength in either data engineering or data science is advantageous. 5+ years of experience demonstrating technical concepts, including presenting and white-boarding. 4+ years of experience designing architectures within a public cloud (AWS, Azure, or GCP). 4+ years of experience with Big Data technologies, including Spark, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others. Solid coding experience in Python, R, Java, Spark, or Scala. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake, and MLflow. To learn more, follow Databricks on Twitter, LinkedIn, and Facebook.

Job Title: Cash Application Analyst Job Summary We are looking for an experienced Cash Application Analyst to manage and optimize the cash application process at our tech company, which operates on a usage-based billing model. The ideal candidate will ensure the accurate and timely application of customer payments to invoices, contribute to efficient cash flow management, and collaborate with key stakeholders to enhance processes. This role requires a meticulous professional with strong analytical skills, experience in high-volume cash application environments, and an ability to navigate in a fast-paced environment. This position will be catering to the US (EST) timezone. The Impact You Will Have Oversee the daily cash application process, ensuring customer payments are accurately and promptly applied to invoices. Monitor and reconcile incoming payments across multiple payment channels, including ACH, wire transfers, credit card transactions, and checks. Collaborate closely with the billing and collections teams to resolve discrepancies and support seamless end-to-end cash management. Develop and implement cash application policies and procedures that align with the unique aspects of a usage-based billing system. Identify and address payment discrepancies, customer account issues, and unapplied cash, facilitating timely resolutions. Maintain and update comprehensive documentation of cash application processes and customer payment records. Generate reports on cash application metrics, providing actionable insights to senior finance leadership. Participate in system enhancements and software implementations to improve cash application automation and efficiency. Liaise with the customer support team to handle customer inquiries related to payments and account reconciliations. Drive continuous process improvements and leverage technology to enhance accuracy, reduce processing times, and streamline operations. Ensure compliance with company policies and relevant financial regulations. What We Look For Bachelor s degree in Finance, Accounting, Business Administration, or a related field preferred. Minimum of 4 years of experience in cash application, accounts receivable, or related financial operations. Strong understanding of usage-based billing models and associated financial processes. Excellent attention to detail and problem-solving skills. Proficiency with ERP systems and payment processing platforms; experience with NetSuite and Salesforce is a plus. Strong analytical skills with the ability to interpret data and generate reports. Effective communication and interpersonal skills for collaboration with cross-functional teams. Operate in a fast-paced environment with tight deadlines. Ability to adapt to evolving business needs and drive change management. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake, and MLflow. To learn more, follow Databricks on Twitter, LinkedIn, and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Qualification : Bachelors degree in Finance, Accounting, Business Administration, or a related field preferred.

Job Title: Senior Revenue Operations Analyst Job Summary We are seeking an experienced Senior Revenue Operations Analyst to join our team. You will support the daily Order to Cash operations supporting the global revenue accounting operations and revenue close process. You will play an essential role in data integrity; ensuring all customer, opportunity, and subscription information is accurate and reportable. You will partner with other teams to create and promote a scalable order to cash process. This will be the first hire for the site! The Impact You Will Have Analyze signed contracts and completed orders for completeness, accuracy, and compliance with company bookings and revenue recognition guidelines. Partner with Sales, Deal Desk, Renewals, Collections, Legal, and Revenue teams to develop expertise in order-to-cash policies and procedures. Create and maintain detailed records in our ERP and billing platform to support billing, commissions, forecasting, and revenue recognition processes, adhering to internal service level agreements. Generate and maintain comprehensive documentation of policies and processes, and assist in identifying process improvement and automation opportunities. Execute month-end accounting and reporting activities, ensuring timely and accurate financial close processes. Document controls and procedures for both new and existing business models to maintain compliance and operational excellence. Manage special projects as assigned, delivering accurate and timely results. Provide audit support for both control and substantive testing, ensuring compliance with internal and external requirements. Collaborate on process and system implementation and enhancement projects, assisting with user acceptance testing (UAT) as needed. Proactively identify areas for process optimization, recommending and implementing best practices for efficiency and scalability. Ensure data integrity and accuracy within financial systems by performing regular reviews and audits. Partner with the finance transformation, IT, and engineering teams to streamline revenue operations processes. What We Look For Bachelor s degree in Finance, Accounting, Business Administration, or a related field preferred. Minimum of 6 years of revenue operational accounting experience. Strong accounting background with experience in revenue operational accounting and financial close processes. Strong understanding of usage-based billing models and associated financial processes. Proficiency with ERP systems and payment processing platforms; experience with a global ERP such as NetSuite and Salesforce is required. High level of analytical skills with the ability to interpret large datasets, generate reports, and perform complex reconciliations using spreadsheet software (e.g., Excel, Google Sheets). Effective communication and interpersonal skills for collaboration with cross-functional teams. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake, and MLflow. To learn more, follow Databricks on Twitter, LinkedIn, and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Qualification : Bachelors degree in Finance, Accounting, Business Administration, or a related field preferred.

Job Title: Usage Manager Job Summary We are seeking an experienced Usage Manager to join our team. You will support the daily Order to Cash operations by helping lead the global revenue accounting operations and revenue close process. You will play an essential role in data integrity; ensuring all customer usage information is accurately reportable. You will partner with other teams to create and promote a scalable order to cash process. This is an individual contributor position, and will be the first hire in India! The Impact You Will Have Lead and manage a team of Revenue Operations Analysts, including performance management, coaching, and development. Manage escalations related to order-to-cash processes, ensuring timely resolution and communication with stakeholders. Monthly metrics highlighting performance against agreed SLAs and KPIs. Maintain and/or create detailed SOPs for all processes. Prepare proposed usage adjustments and credits, when applicable. Analyze usage for signed contracts with assurance to accuracy and compliance with company revenue recognition guidelines. Partner with Sales, Deal Desk, Billing, Engineering, IT, Legal, and Revenue Teams to develop expertise in order-to-cash policies and procedures specific to usage. Create and maintain detailed records in our ERP and billing platform NetSuite/Metronome to support billing, commissions, forecasting, sales, and revenue recognition processes, adhering to internal service level agreements. Generate and maintain comprehensive documentation of policies and processes, and assist in identifying process improvement and automation opportunities. Execute month-end accounting and reporting activities, ensuring timely and accurate financial close processes. Document controls and procedures for both new and existing business models to maintain compliance and operational excellence. Manage special projects as assigned, delivering accurate and timely results. Change management or SOPs with any system enhancements. Provide audit support for both control and substantive testing, ensuring compliance with internal and external requirements. Collaborate on process and system implementation and enhancement projects, assisting with user acceptance testing (UAT) as needed. Proactively identify areas for process optimization, recommending and implementing best practices for efficiency and scalability. What We Look For Bachelor s degree in Finance, Accounting, Business Administration, or a related field preferred. Minimum of 8 years of revenue operational accounting experience, with demonstrated experience leading and managing teams. Strong understanding of usage-based billing models and associated financial processes. Proficiency with ERP systems and payment processing platforms; experience with a global ERP such as NetSuite and Salesforce is required. High level of analytical skills with the ability to interpret large datasets, generate reports, and perform complex reconciliations using spreadsheet software (e.g., Excel, Google Sheets). Ability to adapt to evolving business needs and drive change management. Must be adaptive to change. Proven ability to manage team performance, provide constructive feedback, and foster a positive and productive team environment. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake, and MLflow. To learn more, follow Databricks on Twitter, LinkedIn, and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Qualification : Bachelors degree in Finance, Accounting, Business Administration, or a related field preferred.

Job Title: Data Engineer Job Summary As a Data Engineer in the IT team, you will work on various big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help business to get most value out of their data. The Impact You Will Have You will work on a variety of impactful Big Data projects which may include building reference architectures, how-to's and production grade MVPs. Work on implementing transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications. Work on architecture and design; bootstrap or implement strategic projects. What We Look For 7+ years experience with Big Data Technologies such as Apache Spark , Kafka, Cloud Native and Data Lakes. 4+ years of experience working on Big Data Architectures independently. Preferred experience working in the Databricks ecosystem. Comfortable writing code in either Python or Scala. Experience working across Cloud Platforms (GCP / AWS / Azure). Documentation and white-boarding skills. Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake, and MLflow. To learn more, follow Databricks on Twitter, LinkedIn, and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.

CSQ124R98 At Databricks, an Incident Manager utilizes their technical experience and resourcefulness to lead urgent customer situations to resolution. Responsible for managing frequent, high-quality updates to all internal and external stakeholders, Incident Managers advocate with engineering and leadership, on behalf of their customers, to ensure that escalations are handled with the appropriate level of urgency from stakeholders. The impact you will have: Drive critical customer escalations or widespread outages to conclusion and resolution. Escalate to on-call resources in support and engineering and establish checkpoint calls and action items to ensure that progress is made and status updates are delivered on time. Demonstrate cross-functional leadership while establishing ownership of escalations and outages. Compile and deliver frequent high-quality communications to internal and external stakeholders, including executive staff. Candidate should be comfortable creating concise and effective messaging that is tailored to a technical or executive audience with minimal assistance from others. Commence and lead war rooms while establishing other temporary communication channels as warranted for the duration of an outage. Ability to multi-task on several incidents and/or projects at once. Be a leader who identifies product and process improvements from every incident and submits necessary feedback for improvements. Participate in on-call rotations. What we look for: Minimum 8+ years of experience in customer support, support escalation and incident management is required. Excellent contextual interpretation and writing skill with an effective ability to summarize and communicate to technical and business audiences is required. Demonstrates strong ability to make timely decisions for both business and technical perspectives. Excellent analytical and troubleshooting skills are required. Candidate should be able to demonstrate technical excellence by applying engineering principles to solve complex problems. Hands-on experience developing any two or more of the following: Big Data, Hadoop, Spark, Machine Learning, Artificial Intelligence, Streaming, Kafka, Data Science, ElasticSearch related industry use cases at the production scale. Hands-on experience in the performance tuning/troubleshooting of Spark-based applications at production scale. Proven and real-time experience in JVM and Memory Management techniques such as Garbage collection and Heap/Thread Dump Analysis is required. Working knowledge in Data Lakes and preferably on the SCD types use cases at production scale. Working and hands-on experience with any SQL-based databases, Data Warehousing/ETL technologies like Informatica, DataStage, Oracle, Teradata, SQL Server and MySQL Linux/Unix administration skills and hands-on experience with AWS or Azure or GCP is required. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visithttps://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

As a Manager of the Spark Technical Solutions team, you will lead & manage a team of Technical solution engineers and be responsible for driving deep dive technical solutions for any issues reported by Databricks customers. We expect the manager to resolve challenges with comprehensive technical and customer communication skills. You will assist our customers in their Databricks journey and provide them with the guidance, knowledge, and expertise that they need to realise value and achieve their strategic objectives using our products. The impact you will have: As a manager and member of the leadership team, you will be directly responsible for the management of Technical solution engineers, team leads and operations personnel Responsible for directly monitoring, reporting, and driving improvements to team-level metrics and KPIs, acting as an escalation point with customers and internal teams, and optimising and developing support processes and tools Responsible for working across multiple cross functional teams that include Engineering, product management, sales and customer success; manage Hiring, mentoring and onboarding new support engineers Regularly meet one-on-one with your direct reports, conducting annual reviews and career development discussions throughout the year Be a hands on manager to assist the team members in resolving issues related to Spark core internals, Spark SQL, Structured Streaming, Delta, Lakehouse and other databricks runtime features Manage and drive best practices guidance around Spark runtime performance and usage of Spark core libraries and APIs for custom-built solutions developed by Databricks customers; contribute in the development of tools/automation initiatives Own Engineering JIRA tickets and proactively work to bring quicker resolutions to customer reported issues; participate in creation of knowledge base articles Participate in weekend and weekday on-call rotation and run escalations during databricks runtime outages, incident situations, ability to multitask and plan day 2 day activities and provide escalated level of support for critical customer operational issues, etc What we look for: Min 10-12 years of experience in designing, building, testing, and maintaining Python/Java/Scala/Spark based applications in a typical project delivery and consulting environments with 4+ years working as a Manager 5+ years of hands-on experience in developing and leading any two or more of the Big Data, Hadoop, Spark,Machine Learning, Artificial Intelligence, Streaming, Kafka, Data Science, ElasticSearch related industry use cases at the production scale. Spark experience is mandatory Hands on experience in the performance tuning/troubleshooting of Hive and Spark based applications at production scale. Real time experience in JVM and Memory Management techniques such as Garbage collections, Heap/Thread Dump Analysis is preferred Working and hands-on experience with Data lakes and any SQL-based databases, Data Warehousing/ETL technologies like Informatica, DataStage, Oracle, Teradata, SQL Server, MySQL is preferred Hands-on experience with AWS or Azure or GCP is preferred Experience in implementing CI/CD, Monitoring/alerting for Production Systems Technical lead in design, implementation and support of large scale data and analytics solutions that are highly reliable, flexible, and scalable Experience in leading and managing end-to-end projects and have reported and escalated to top levels Experience in managing and leading teams in an organisation involving multiple reporting lines Strong written and verbal communication skills; very good analytical, organisational, multi-tasking skills About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visithttps://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

As a Senior Manager of the Spark Technical Solutions team, you will lead & manage a team of Technical Solution Engineers (Spark) and be responsible for driving deep dive technical solutions for any issues reported by Databricks customers. We expect the manager to resolve challenges with comprehensive technical and customer communication skills. You will assist our customers in their Databricks journey and provide them with the guidance, knowledge, and expertise that they need to realise value and achieve their strategic objectives using our products. The impact you will have: As a manager and member of the leadership team, you will be directly responsible for the management of Technical solution engineers, team leads and operations personnel Responsible for directly monitoring, reporting, and driving improvements to team-level metrics and KPIs, acting as an escalation point with customers and internal teams, and optimising and developing support processes and tools Responsible for working across multiple cross functional teams that include Engineering, product management, sales and customer success; manage Hiring, mentoring and onboarding new support engineers Regularly meet one-on-one with your direct reports, conducting annual reviews and career development discussions throughout the year Be a hands on manager to assist the team members in resolving issues related to Spark core internals, Spark SQL, Structured Streaming, Delta, Lakehouse and other databricks runtime features Manage and drive best practices guidance around Spark runtime performance and usage of Spark core libraries and APIs for custom-built solutions developed by Databricks customers; contribute in the development of tools/automation initiatives Own Engineering JIRA tickets and proactively work to bring quicker resolutions to customer reported issues; participate in creation of knowledge base articles Participate in weekend and weekday on-call rotation and run escalations during databricks runtime outages, incident situations, ability to multitask and plan day 2 day activities and provide escalated level of support for critical customer operational issues, etc What we look for: Min 10-12 years of experience in designing, building, testing, and maintaining Python/Java/Scala/Spark based applications in a typical project delivery and consulting environments with 4+ years working as a Manager 5+ years of hands-on experience in developing and leading any two or more of the Big Data, Hadoop, Spark,Machine Learning, Artificial Intelligence, Streaming, Kafka, Data Science, ElasticSearch related industry use cases at the production scale. Big Data / Spark hands on-experience is mandatory Hands on experience in the performance tuning/troubleshooting of Hive and Spark based applications at production scale. Real time experience in JVM and Memory Management techniques such as Garbage collections, Heap/Thread Dump Analysis is preferred Working and hands-on experience with Data lakes and any SQL-based databases, Data Warehousing/ETL technologies like Informatica, DataStage, Oracle, Teradata, SQL Server, MySQL is preferred Hands-on experience with AWS or Azure or GCP is preferred Experience in implementing CI/CD, Monitoring/alerting for Production Systems Technical lead in design, implementation and support of large scale data and analytics solutions that are highly reliable, flexible, and scalable Experience in leading and managing end-to-end projects and have reported and escalated to top levels Experience in managing and leading teams in an organisation involving multiple reporting lines About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visithttps://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Job Overview: We are seeking a highly skilled Frontline Senior Technical Solutions Engineer with over 5 years of experience to join our Platform Support team. This role is pivotal in delivering exceptional support for our Databricks Data Intelligence platform, addressing complex technical challenges, and ensuring the seamless operation of our data solutions. As a frontline engineer, you will be the primary point of contact for critical issues, working closely with both internal teams and customers to resolve high-impact problems and drive platform improvements. Key Responsibilities: Frontline Support: Serve as the primary technical point of contact for escalated issues related to the Databricks Data Intelligence platform. Provide expert-level troubleshooting, diagnostics, and resolution for complex problems affecting system performance and reliability. Customer Interaction: Engage with customers directly to understand their technical issues and requirements. Provide timely, clear, and actionable solutions to ensure high levels of customer satisfaction. Incident Management: Lead the resolution of high-priority incidents, coordinating with various teams to address and mitigate issues swiftly. Conduct thorough root cause analyses and develop preventive measures to avoid recurrence. Collaboration: Work closely with engineering, product management, and DevOps teams to share insights, identify recurring issues, and drive improvements to the Databricks Data Intelligence platform. Documentation and Knowledge Sharing: Create and maintain detailed documentation on support procedures, known issues, and solutions. Contribute to internal knowledge bases and create training materials to assist other support engineers. Performance Monitoring: Monitor and analyze platform performance metrics to identify potential issues before they impact customers. Implement optimizations and enhancements to improve platform stability and efficiency. Platform Upgrades: Manage and oversee the deployment of Databricks Data Intelligence platform upgrades and patches, ensuring minimal disruption to services and maintaining system integrity. Innovation and Improvement: Stay abreast of industry trends and advancements in Databricks technology. Propose and drive initiatives to enhance platform capabilities and support processes. Customer Feedback: Collect and analyze customer feedback to drive continuous improvement in support processes and platform features. Qualifications: Experience: Minimum of 5 years of hands-on experience in a technical support or engineering role related to Databricks Data Intelligence platform, cloud data platforms, or big data technologies. Technical Skills: A deep understanding of Databricks architecture and Apache Spark, along with experience in cloud platforms like AWS, Azure, or GCP, is essential. Strong capabilities in designing and managing data pipelines, distributed computing are required. Proficiency in Unix/Linux administration, familiarity with DevOps practices, and skills in log analysis and monitoring tools are also crucial for effective troubleshooting and system optimization. Problem-Solving: Demonstrated ability to diagnose and resolve complex technical issues with a strong analytical and methodical approach. Communication: Exceptional verbal and written communication skills, with the ability to effectively convey technical information to both technical and non-technical stakeholders. Customer Focus: Proven experience in managing high-impact customer interactions and ensuring a positive customer experience. Collaboration: Ability to work effectively in a team environment, collaborating with engineering, product, and customer-facing teams. Education: Bachelor s degree in Computer Science, Engineering, or a related field. Advanced degree or relevant certifications are highly desirable. Preferred Skills: Experience with additional big data tools and technologies such as Hadoop, Kafka, or NoSQL databases. Familiarity with automation tools and CI/CD pipelines. Understanding of data governance and compliance requirements. Innovative Environment: Work with cutting-edge technology in a fast-paced, innovative company. Career Growth: Opportunities for professional development and career advancement. Team Culture: Collaborate with a talented and motivated team dedicated to excellence and continuous improvement. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visithttps://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to pr...

Mission As a Spark Backline Engineer you will help our customers to be successful with the Databricks Data Intelligence platform by resolving important technical customer escalations and the support team. You will be the technical bridge between support and engineering and the first line of defense for engineering. You will ensure that all issues are vetted by you before it reaches the engineering team. You will report to the Senior Backline Manager of the Backline Escalations Team. Outcomes Troubleshoot, resolve and suggest deep code-level analysis of Spark to address complex customer issues related to Spark core internals, Spark SQL, Structured Streaming and Databricks Delta. Provide best practices guidance around Spark runtime performance and usage of Spark core libraries and APIs for custom-built solutions developed by Databricks customers. Help the support team with detailed troubleshooting guides and runbooks. Contribute to automation and tooling programs to make daily troubleshooting efficient. Work with the Spark Engineering Team and spread awareness of upcoming features and releases. Identify Spark bugs and suggest possible workarounds. Demonstrate ownership and coordinate with engineering and escalation teams to achieve resolution of customer issues and requests Participate in weekend and weekday on call rotation. Competencies Minimum 5 years' experience developing, testing, and sustaining Python or Java or Scala-based applications. Comfortable with compiling, building and navigating the Apache Spark source code. Comfortable with identifying and applying patches/bug fixes to the Apache Spark source code. Experience in Big Data/Hadoop/Spark/Kafka/Elasticsearch data pipelines. Hands-on experience with SQL-based database systems. Experience in JVM, GC, Thread dump-based troubleshooting is required. Experience with AWS or Azure related services. Bachelor's degree in Computer Science or a related field is required. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visithttps://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Qualification : Bachelor's degree in Computer Science or a related field is required.

We re growing fast and attracting the best talent in the world. Bricksters as we call ourselves are a special mix of smart, curious, quick thinkers. If you ask a Brickster what they love about working here, you ll likely hear about our culture. We are seeking an experienced NOC Engineer to join our team. The successful candidate will be responsible for monitoring critical Databricks infrastructure and developing monitoring tools and alerting dashboards. They will also work closely with stakeholders to investigate and resolve incidents, perform root cause analysis, and propose solutions to increase the reliability and stability of the Databricks unified analytics platform. The impact you will have here: Monitor critical infrastructure, triage alerts to proactively identify incidents, and work with stakeholders to resolve incidents. Investigate incidents and propose solutions to improve platform reliability and stability. Perform root cause analysis for recurring incidents and provide proactive solutions. Develop toolings or automate processes to improve platform monitoring and alerting. Contribute to software development efforts to improve overall service reliability and stability. Communicate effectively with internal stakeholders, including executive staff, to provide incident analysis. Participate in war rooms and temporary communication channels during outages. Demonstrate cross-functional leadership and establish ownership of incidents and outages. Multitask on several incidents and/or projects Minimum of 5 years of experience as a NOC, SRE, or DevOps engineer Strong knowledge of cloud technologies such as Azure, AWS, and GCP Hands-on experience with monitoring, logging, and alerting tools such as ELK, Prometheus, Grafana, Pager Duty, etc. Experience with containers and orchestration technologies such as Docker and Kubernetes. Proficiency in automation and scripting Linux systems administration skills. Excellent communication skills. Willingness to learn Databricks products Bachelor's degree in Computer Science or a related field About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visithttps://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Qualification : Bachelor's degree in Computer Science or a related field is required.

About Databricks At Databricks, we are driven by our passion for enabling data teams to solve the world s most challenging problems from building the next mode of transportation to accelerating medical breakthroughs. We achieve this by creating the world s leading data and AI infrastructure platform, empowering our customers to leverage deep data insights to transform their businesses. Founded by engineers and customer-obsessed, we thrive on solving technical challenges, whether it s designing next-gen UI/UX for data interaction or scaling services and infrastructure across millions of virtual machines. And we re just getting started. The Opportunity As one of the first Engineering Managers in the Software Engineering team at Databricks India, you will be at the forefront of building infrastructure and products at scale for the Databricks platform. You will lead a talented team working on complex and highly scalable systems, contributing to multiple domains, including: Resource management infrastructure for big data and machine learning workloads scalable, secure, and cloud-agnostic. Reliable, scalable services and client libraries that handle massive amounts of data across multiple regions and cloud providers. Developer tools for operating services across different clouds and environments. Services and infrastructure at the intersection of machine learning and distributed systems. The Impact You Will Have Build and lead an exceptional engineering team by hiring and retaining top talent. Ensure high technical standards through robust processes (e.g., architecture reviews, testing) and foster a culture of engineering excellence. Define and execute long-term roadmaps, collaborating with engineering and product leadership. Coordinate execution and unblock cross-team projects, ensuring alignment and timely delivery. What We Look For 10+ years of experience with large-scale distributed systems, including strong expertise in testing, monitoring, and defining SLAs. Proven experience as a Software Engineering Leader, building and scaling engineering teams from the ground up. Strong technical background, with extensive experience managing high-performing software engineering teams. Proven ability to partner with Product Management, Sales, and Customers to develop innovative features and products. BS (or higher) in Computer Science or a related field. About Databricks Databricks is the data and AI company, trusted by more than 10,000 organizations worldwide, including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500. We help unify and democratize data, analytics, and AI through the Databricks Data Intelligence Platform. Founded by the original creators of Apache Spark, Delta Lake, MLflow, and the Lakehouse architecture, Databricks is headquartered in San Francisco with offices across the globe. Qualification : BS (or higher) in Computer Science, or a related field.