Senior Data Engineering Manager Jobs in Bengaluru

Position: Technical Support Engineer - L2 Job Type: Full-Time Location: Bangalore Department: Technical Support About BlueOptima: At BlueOptima, our mission is to be the global leader in optimizing the performance of software engineers across all industries. Through our cutting-edge metrics in software development, we empower large organizations to build better software, faster and at lower costs. Our innovative technology pushes the boundaries of what s possible, making a real difference in software delivery. With a global presence including offices in London, India, Mexico, the US, and Japan we are a diverse team of 120 people from over 20 countries. We foster a collaborative, open-minded environment where every individual can create their own success story in a high-performance setting. Job Description: As a Technical Support Engineer - L2, you will play a critical role as the senior technical leader between customer-facing teams, Product Management, and Engineering. You will provide deep technical expertise, troubleshooting complex issues, contributing to product development, and ensuring the smooth success of customer engagements. This role is highly dynamic and involves working closely with multiple teams, managing escalated support cases, coordinating new features and fixes, and creating internal best practices. Key Responsibilities: Customer Success Support: Act as a technical lead for pre-sales, deployment, and support teams. Troubleshoot escalated support issues, replicate environments, and collaborate with engineering to resolve problems quickly and efficiently. Product Feedback & Roadmap Alignment: Actively participate in "road-testing" pre-release software, providing crucial feedback to Product Management, and helping ensure customer requirements are aligned with the product roadmap. Technical Exploration & Research: Lead deep technical investigations, such as benchmarking custom use cases, and prototype new features to improve the overall customer experience. Enablement & Knowledge Sharing: Contribute to internal documentation, including product capabilities and best practices, and deliver regular training sessions to technical teams to promote continuous learning. Qualifications: Core Technical Skills: Advanced Systems Administration: Expertise in Linux and Windows, including performance tuning, kernel parameters, and filesystem management. Scripting Skills: Strong proficiency in Bash, Python, or similar languages to automate complex tasks and gather detailed debugging data. Enterprise Storage: Experience with SAN, NAS, and related enterprise storage technologies and architectures. Disaster Recovery: Hands-on experience with data copy, replication, and disaster recovery solutions. Cloud Storage: Experience working with Cloud Object Stores like AWS S3, Azure, or Google Cloud. Virtualization & Containerization: Knowledge of Docker, IaaS, and PaaS technologies. Additional Technical Skills: In-depth knowledge of version control systems (Git, Subversion). Familiarity with security concepts (Kerberos, SSL/TLS, LDAP). Advanced networking knowledge, including packet tracing and tuning. Understanding of Java concepts and integrations. Experience & Education: 10-15 years of experience in IT, with a focus on Linux-based systems and enterprise environments. Bachelor s degree in Computer Science or a related field. Soft Skills: Communication: Ability to explain complex technical concepts to both technical and non-technical audiences. Problem-Solving: Strong methodical troubleshooting skills and the ability to think critically in high-pressure situations. Customer-Facing Experience: Previous experience in customer-facing roles, with the ability to manage expectations and deliver results. Calm Under Pressure: A composed, professional demeanor even in high-stakes situations. Continuous Learning: Enthusiasm and curiosity to stay ahead of new technologies and industry trends. At BlueOptima, you ll be part of a pioneering company with a mission to transform the way software performance is optimized. We value innovation, collaboration, and individual growth, offering a dynamic and high-performance environment where your contributions truly make an impact. If you re looking to advance your career while working with cutting-edge technology, BlueOptima is the place to be. Qualification : Bachelors degree in Computer Science or a related field

Senior Data Engineer Enterprise Data Platform Location: Bengaluru Department: Business Technology Data Engineering Experience: 5+ Years Employment Type: Full-Time About Okta Okta is The World s Identity Company. We empower people to securely use any technology, anywhere, on any device. Through our Okta and Auth0 platforms, we provide secure access, authentication, and automation placing identity at the center of security and growth for thousands of organizations. We value diverse perspectives and lifelong learners. We re not looking for someone who checks every box we re looking for someone who will make us better with their unique experiences. Team: Business Technology Data Engineering The Data Engineering team at Okta supports cross-functional partners by building scalable, secure, and high-performing platforms. These platforms power decision-making and business processes across sales, marketing, engineering, finance, product, and operations. As part of this team, you ll contribute to data solutions that fuel Okta s hyper-growth. You will have the opportunity to work with cutting-edge technologies in cloud infrastructure, data lakes, automation, and CI/CD pipelines. The Role: Senior Data Engineer As a Senior Data Engineer, you will design, build, and manage modern data pipelines, infrastructure, and automation frameworks. You ll help scale our enterprise data platform using tools such as Snowflake, dbt, Airflow, Databricks, and AWS, while ensuring security, observability, and performance. You ll also contribute to CI/CD pipelines, infrastructure as code (IaC), and secure development lifecycle practices, enabling consistent, efficient, and secure delivery of data solutions. Key Responsibilities Platform Development & Infrastructure Design and maintain scalable data pipelines and platforms using Snowflake, AWS, Databricks, dbt, and Airflow. Manage infrastructure with Terraform, enabling repeatable and consistent deployments. Develop and maintain robust CI/CD pipelines using GitHub Actions, GitLab, or Jenkins. Containerize data services using Docker for better scalability and portability. Security & Compliance Implement and enforce secure development lifecycle practices, integrating tools like DAST, SAST, SCA, and Secret Scanning into pipelines. Conduct vulnerability scanning and apply patches to ensure system integrity. Ensure data security and compliance with industry standards and regulations. Collaboration & Innovation Collaborate with data engineers, data scientists, and analysts across business units to ensure data availability and integrity. Identify opportunities for automation and optimization within the data platform. Stay updated on emerging technologies and drive adoption of best practices. Must-Have Skills Bachelor s degree in Computer Science, Engineering, or a related technical field. 5+ years of experience in data engineering, including: Advanced SQL and ETL development with Airflow and dbt. Experience with data warehouses such as Snowflake, Redshift, or BigQuery. Strong hands-on experience with AWS (S3, Lambda, EC2, EMR, EKS). 2+ years of experience managing CI/CD pipelines using tools like GitHub Actions, GitLab, Jenkins, or ArgoCD. Experience with Terraform and Docker. Proficiency in backend languages such as Python, Java, or Go. Preferred Skills Experience with lakehouse architectures like Databricks, including knowledge of Delta Lake and Apache Iceberg. Background in infrastructure security, vulnerability management, and observability tooling. High Impact: Help build and scale the data platform that powers Okta s global business. Cutting-Edge Stack: Work with best-in-class technologies like AWS, Snowflake, dbt, Terraform, and Databricks. Collaborative Culture: Join a diverse, inclusive, and globally distributed team that values knowledge sharing and continuous learning. Career Growth: Shape the future of Okta s data engineering practice while expanding your technical and leadership skills. Bring your passion for data, cloud, and automation and let s shape the future of secure, scalable enterprise data platforms together. Qualification : Bachelors degree in Computer Science, Engineering, or a related technical field

Senior Manager Full Stack Engineering Location: Bangalore Company: Capital One India About Capital One India At Capital One India, we blend the agility of a startup with the scale of a Fortune 100 company. Our technology teams drive transformation across banking by building next-generation financial products that are secure, user-centric, and powered by cutting-edge engineering practices. We are makers, breakers, doers, and thinkers working together to reinvent consumer finance through technology, modern design, and data science. As a company that builds its own software and platforms, we re constantly innovating to help over 65 million customers bank better. About the Role As a Senior Manager Full Stack Engineering, you ll lead multiple teams building highly available, scalable, and secure platforms and applications. You ll be at the forefront of technical design, architecture, and implementation, helping your teams deliver impactful solutions across web, mobile, backend services, and cloud infrastructure. This is a hands-on leadership role ideal for an experienced engineering leader who still loves to write code, mentor engineers, and contribute directly to architecture and product evolution. What You ll Do Lead full-stack engineering teams delivering cross-functional, multi-platform applications using modern cloud and open-source technologies. Own end-to-end technical design, architecture decisions, and delivery strategy for critical systems. Partner with architects, product managers, and cross-functional leaders to understand requirements, prioritize needs, and develop scalable solutions. Guide and mentor engineers, driving technical excellence, performance, and career growth across teams. Drive Agile delivery, ensuring projects meet timelines and quality standards while promoting DevOps best practices. Champion and enforce best practices in secure coding, architecture, compliance, and accessibility. Collaborate with internal and external stakeholders to align technology vision with business goals. Manage full software development lifecycle: planning, estimation, implementation, deployment, and support. Foster a culture of engineering excellence, continuous learning, and experimentation. Basic Qualifications Bachelor s Degree in Computer Science, Engineering, or a related field 8+ years of experience in software development, with a focus on full-stack systems 5+ years of experience managing software development teams through full release cycles Proven track record of leading Agile teams and delivering high-impact technology projects 5+ years of people management experience, including mentoring and team scaling Preferred Qualifications Master s Degree in Computer Science, Engineering, or Business 10+ years of software engineering experience in large-scale, distributed systems 6+ years of experience applying Agile methodologies (Scrum, Kanban, SAFe) Hands-on experience with some or all of the following: Languages: Java, Python, Go, JavaScript, Node.js Frontend: React, AngularJS, HTML5, CSS Cloud: AWS, Azure, GCP (AWS preferred) DevOps: CI/CD, Docker, Kubernetes, Terraform Databases: NoSQL (MongoDB, Cassandra), SQL, Redshift, Snowflake Strong understanding of accessibility standards and building inclusive digital products Experience with Big Data, event-driven architectures, and RESTful APIs Passion for mentoring, technical excellence, and building diverse, high-performing teams Join a team that's redefining how software powers banking Build next-gen cloud-native applications from scratch Work on meaningful problems with direct customer impact Thrive in a collaborative, transparent, and inclusive culture Access top-tier learning opportunities, technical conferences, and internal mentorship Qualification : Masters Degree in Computer Science, Engineering, or Business

Senior Engineering Manager Location: Bengaluru Experience: 13 18 years Team: Engineering Industry: Web3 | Crypto | Fintech About CoinDCX: Building Tomorrow, Today At CoinDCX, we believe that change starts together. Over the past six years, we ve grown from India s first crypto unicorn into a platform trusted by over 125 million users. As we continue scaling, our mission is clear: make Web3 accessible to everyone by solving real challenges in accessibility, security, and usability. Join us in shaping the next frontier of finance where bold ideas meet cutting-edge technology. At CoinDCX, you ll be part of a team of innovators and disruptors who are rewriting the rules of digital finance. Together, we re building secure, scalable platforms that power the Web3 economy. Here, complex becomes simple, the inaccessible becomes accessible, and the impossible becomes achievable. The Role: Senior Engineering Manager As a Senior Engineering Manager, you'll lead and grow a team of talented engineers while driving the architecture and delivery of high-impact products. This role requires technical depth, strong leadership, and a product-oriented mindset. You'll work closely with cross-functional teams to build robust systems that power the future of crypto and Web3 at scale. What You ll Own Lead end-to-end product development from planning to production. Own system architecture and drive high-impact technical decisions. Mentor, manage, and grow a team of engineers through regular feedback, coaching, and performance reviews. Collaborate cross-functionally with Product, Design, and Business teams in an Agile environment. Champion engineering best practices and operational excellence. What You Bring Technical Expertise Proficiency in Go (primary) and hands-on experience with Java, Scala, or Python. Deep understanding of distributed systems, microservices, and event-driven architectures. Real-time data streaming experience with tools like Kafka, Flink, Pulsar, or Spark Streaming. Strong database knowledge: NoSQL: Cassandra, DynamoDB, MongoDB, ScyllaDB, Bigtable SQL: PostgreSQL, MySQL Experience with caching/in-memory systems like Redis, Aerospike, or Memcached. Exposure to financial systems (ledgering, reconciliation, reporting). Fintech or crypto background is a major plus. Execution & Problem Solving Proven experience building low-latency, high-throughput, and scalable platforms. Strong ability to translate ambiguous business problems into elegant technical solutions. Passionate about reliability, accuracy, and earning customer trust. Outcome-driven leader with a strong sense of ownership and accountability. Who You Are Inherently curious and driven to master Web3 and digital assets (VDAs). Thrive in fast-paced, high-change environments. A team player who believes in "We over Me" fostering both individual and team growth. Think like an owner with a constant focus on impact, innovation, and excellence. A creative problem solver who pushes boundaries, not buttons. Perks & Benefits Design Your Own Benefits Personalize your perks whether it's for gadgets, pets, or personal goals. Unlimited Wellness Leaves Take the time you need to rest and recharge with flexible wellness time off. Mental Wellness Support Access free counseling, mental health sessions, monthly wellness events, and more. Bi-Weekly Learning Sessions Stay ahead of the curve with regular upskilling and expert-led knowledge sharing. At CoinDCX, you won t just be part of a company you ll be part of a movement. Let s bridge the gap between millions of people and the promise of Web3. Let s build what s next. Apply now and lead the future of finance.

Position: Senior Data Scientist LLM Location: Bangalore, Karnataka, India Type: Full-Time (On-site) Experience Required: 2+ years in Deep Learning, 1+ years in LLMs Industry: Healthcare AI Company Overview: 5C Network is pioneering multi-modal AI systems for autonomous diagnosis in medical imaging. We're building next-generation models that integrate deep learning with language understanding to revolutionize clinical workflows and diagnostic accuracy. Role Summary: As a Senior Data Scientist LLM, you will lead the development and deployment of Large Language Models (LLMs) focused on enhancing medical imaging diagnostics. You ll work on cutting-edge problems such as instruction fine-tuning, prompt engineering, and Retrieval-Augmented Generation (RAG), while ensuring scalability and robustness in production environments. Key Responsibilities: LLM Development & Fine-Tuning Design and optimize prompts for diverse clinical and imaging-related use cases. Perform instruction fine-tuning of LLMs to meet task-specific requirements. Develop reasoning pipelines including Chain of Thought (CoT) techniques for complex diagnostic workflows. LLM Deployment & Optimization Self-host and deploy LLMs in secure, scalable production environments. Apply quantization and other performance optimization methods to minimize compute and memory footprint. Ensure high performance, uptime, and security in AI deployments. Retrieval-Augmented Generation (RAG) & Vector Databases Develop and implement RAG pipelines by integrating LLMs with semantic search. Work with vector databases (e.g., Qdrant) to enable fast, efficient retrieval of contextual data. Optimize data storage, indexing, and retrieval to support clinical applications. Data Engineering & Annotation Build and manage high-quality datasets tailored for CoT and multi-step reasoning tasks. Lead data annotation efforts to enhance LLM understanding of medical contexts. Collaboration & Research Collaborate with researchers, ML engineers, and domain experts to bring LLM solutions from prototype to product. Stay ahead of the curve by experimenting with novel LLM architectures and emerging techniques. Qualifications: Bachelor's or Master s degree in Computer Science, Data Science, AI, or a related field. 2+ years of hands-on experience in deep learning. Minimum 1 year of experience working with LLMs (e.g., instruction tuning, prompt engineering, RAG). Prior experience in LLM deployment (self-hosting, optimization, quantization, scaling). Proficient in Python and common ML frameworks (e.g., PyTorch, Hugging Face Transformers). Familiarity with vector databases like Qdrant or similar. Strong interest or prior exposure to healthcare/medical AI. Excellent problem-solving, communication, and team collaboration skills. Technical Stack: Languages: Python Frameworks: PyTorch, Hugging Face Technologies: LLMs (e.g., GPT, LLaMA), Vector Databases (Qdrant), RAG, Quantization Tools: Docker, Kubernetes, REST APIs, Git Work on high-impact AI solutions in the healthcare domain. Collaborate with a team at the forefront of multi-modal diagnostic technology. Access cutting-edge tools and real-world data to drive innovation. Qualification : Bachelor's or Masters degree in Computer Science, Data Science, AI, or a related field.

Senior Associate Data Engineering L2 Location: Bengaluru, India Department: Engineering Data Employment Type: Full-Time About the Role As a Senior Associate Data Engineering (L2) at Publicis Sapient, you will lead technical solutions that drive digital transformation by building scalable, high-performance data platforms. You ll be responsible for translating business and technical requirements into modern, data-centric solutions using Big Data technologies, cloud services (Azure), and advanced data engineering practices. Key Responsibilities Design and implement data ingestion, integration, and transformation processes from multiple heterogeneous sources in both batch and real-time. Build scalable data platforms using Hadoop stack components such as HDFS, Kafka, Spark, Hive, NiFi, Oozie, Airflow, Flink, and Storm. Develop real-time analytics, aggregation, and search features to support various data-driven applications. Collaborate closely with cross-functional teams on data infrastructure, computation frameworks, and data visualization. Apply cloud-native principles and Azure services to build and deploy data pipelines. Ensure performance optimization and data pipeline tuning. Work with NoSQL and MPP platforms like MongoDB, Cassandra, Redshift, Azure SQL DW, HBase, BigQuery. Contribute to infrastructure, automation, and DevOps for data pipelines using CI/CD practices. Ensure data governance, lineage, and cataloging using tools like Collibra or Alation. Required Qualifications 6 8 years of professional experience in software/data engineering. Minimum of 3 years hands-on experience with Big Data technologies. Strong programming expertise in Java (preferred), Scala, or Python. Expertise in the Hadoop ecosystem and real-time stream processing tools (Kafka, Pulsar, Spark Streaming, etc.). Hands-on experience with Azure data services (e.g., Data Factory, Synapse, ADLS, Databricks). Experience working with modern ETL tools (Informatica, Talend, etc.) and traditional RDBMS platforms (Oracle, PostgreSQL, SQL Server, MySQL). Bachelor's degree in Computer Science, Engineering, or related field. Nice to Have Certifications in Azure Data Engineer, GCP Big Data, or related cloud specializations. Experience with distributed messaging frameworks (ActiveMQ, RabbitMQ, Solace). Familiarity with microservices architecture and search technologies (Elasticsearch). Performance tuning of distributed data processing systems. Exposure to data governance, security, and metadata management. Benefits and Culture at Publicis Sapient Gender-neutral workplace policies 18 paid holidays annually Generous parental leave + new parent transition support Flexible work arrangements Access to Employee Assistance Programs (wellness & well-being) A dynamic culture focused on learning, creativity, and collaboration Qualification : Bachelor's degree in Computer Science, Engineering, or related field.

Position: Senior Manager, Corporate Systems Engineering Location: Bangalore, India (Hybrid: 3 days in-office, 2 remote) Company: Samsara Technologies India Pvt. Ltd. About Samsara Samsara (NYSE: IOT) powers the Connected Operations Cloud, enabling industries like transportation, construction, agriculture, and manufacturing to leverage IoT data for safety, efficiency, and sustainability. With a mission to digitize the backbone of the global economy, Samsara offers a high-impact, growth-driven environment where innovation meets real-world operations. Role Overview This leadership role oversees the Business Systems Engineering (BSE) team in Bangalore, managing core enterprise applications (e.g., NetSuite, Finance, Supply Chain) and leading the Automation Center of Excellence (CoE). The ideal candidate brings a blend of strategic vision, engineering acumen, and operational excellence, with a strong track record of ERP implementations and a curiosity for AI-driven transformation. Key Responsibilities Systems & Automation Leadership Lead and scale the Business Systems Engineering team, enabling next-gen systems for Finance, Accounting, and Supply Chain. Drive innovation through the Automation CoE, focusing on GenAI, bots, and workflow automation. Deliver high-impact solutions by aligning with business needs and ensuring scalable architectures. Strategic Program Management Manage cross-functional initiatives with measurable ROI, working closely with global IT and business teams. Own Agile transformation for business systems, shifting to a product-centric operating model. Drive programs from ideation to delivery balancing budget, resources, and technical execution. People Management & Collaboration Perform full-spectrum people management: hiring, mentoring, performance reviews, and retention. Foster an inclusive, high-performing team aligned with Samsara s core values. Serve as a trusted advisor to internal stakeholders across functions and geographies. Quality, Efficiency & Communication Set productivity and quality benchmarks for engineering teams. Champion continuous improvement with data-driven insights and automation. Communicate clearly with technical and non-technical audiences including executive leadership. Required Qualifications Core Experience 10+ years in software engineering, business systems, or enterprise application delivery. 5+ years of team leadership or engineering management experience. Proven success implementing NetSuite ERP and supporting enterprise systems. Strong delivery record across Agile, cross-functional, and globally distributed teams. Bonus Skills Experience with financial/ERP tools: Xactly, Vertex, Stripe, Zip, Workato. Passion and practical experience in AI and GenAI-driven transformation. Knowledge of SaaS best practices, data integration, and system scalability. What Makes You a Fit Strategic thinker who executes with precision. Passionate about enterprise system evolution and automation. Curious about how AI will reshape business technology. A culture builder who thrives in collaborative, mission-driven teams.

Job Title: Senior AI Engineer Location: Bengaluru, Karnataka, India Department: GenAI Experience: 4.5 to 7 years Open Positions: 5 About the Role As a Senior AI Engineer, you will design, build, and maintain scalable AI solutions with a strong focus on Generative AI technologies such as large language models (LLMs), embeddings, and retrieval techniques. You will lead a team of AI engineers and collaborate with stakeholders to deliver impactful AI-driven products aligned with business goals. Your role includes mentoring, project planning, ensuring data quality, and driving continuous process improvements. Key Responsibilities Design, develop, and deploy scalable AI/ML solutions, specializing in advanced Generative AI (LLMs, embeddings, retrieval-augmented generation, prompt engineering). Lead, mentor, and develop a team of AI engineers in a collaborative, inclusive environment. Coordinate with stakeholders to gather requirements, prioritize tasks, and define project timelines. Ensure projects align with overall business objectives and data strategies. Oversee data quality, integrity, and security in AI engineering projects. Build reusable frameworks to enhance the efficiency and scalability of AI systems. Manage client communications to translate requirements into technical outcomes. Identify skill gaps and create opportunities for professional development. Drive initiatives for improving data operations and AI delivery efficiency. Required Technical Skills 4.5 to 7 years of experience developing and deploying scalable AI/ML solutions. Strong expertise in data modeling, relational and NoSQL databases, software development lifecycle, unit testing, and functional programming. Proficient in designing and implementing advanced Generative AI solutions including LLMs, embeddings, retrieval techniques, and prompt engineering. Experience designing and optimizing Retrieval-Augmented Generation (RAG) systems. Proficiency with Databricks workflows, including job and cluster management, and API usage. Solid understanding of data structures, algorithms, multiprocessing, and optimization techniques. Skilled in Python libraries such as Pandas, NumPy, FastAPI for data processing and API development. Expertise in SQL optimization and database schema design. Experience deploying AI models using Docker and Kubernetes. Familiarity with version control using GitHub. Hands-on experience with cloud platforms like Azure, AWS, or GCP for AI deployments. Optional experience with PySpark for data processing. Basic understanding of CI/CD pipelines and deployment best practices. Required Non-Technical Skills Strong problem-solving ability with financial impact awareness in both team management and solution delivery. Excellent verbal and written communication skills, comfortable interacting with mid-level client management. Ability to balance pragmatic solutions versus perfect outcomes and rally teams accordingly. Strong interpersonal skills including conflict resolution, empathy, negotiation, and active listening. Demonstrated leadership and mentorship capabilities. Self-motivated with a strong sense of ownership. Good to Have Familiarity with data visualization tools and techniques. Understanding of data security, privacy, governance, and compliance frameworks. Experience with graph databases and graph processing frameworks. Knowledge of data virtualization and federation methods. Skills in data profiling and data quality management. Education Bachelor s degree in Engineering, Computer Science, or a related field. Qualification : Bachelors degree in Engineering, Computer Science, or a related field.

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.

Senior Engineering Manager Bengaluru, India Location: Bengaluru, Karnataka, India Employment Type: Full-time About Serko Serko is a cutting-edge global technology platform transforming business travel and expense management. We unite passionate travelers and technologists through the world s leading business travel marketplace. Proudly an equal opportunity employer, Serko values diversity and inclusion to create an authentic workplace that drives positive change in the travel industry. With offices spanning New Zealand, Australia, North America, China, and now expanding in Bengaluru, India, we re building a world-class team to revolutionize corporate travel. Role Overview: Senior Engineering Manager Technology Leadership Serko is seeking a dynamic Senior Engineering Manager to join our Bengaluru hub. Reporting to the Head of Engineering, you will lead, mentor, and grow high-performing engineering teams of 35-50 members, ensuring optimal resourcing, delivery excellence, and alignment with company objectives. Your leadership will foster continuous learning, employee engagement, and innovation, playing a critical role in scaling Serko s global travel technology platform. Key Responsibilities Team Leadership & Development: Manage engineering teams focusing on recruitment, skill development, and performance management to meet company goals. Project Delivery: Support and guide delivery leads ensuring timely, high-quality project execution aligned with Serko s operating principles. Technical Strategy: Define and drive the technical vision and strategy for your teams, ensuring scalable, reliable, and secure platform architecture. Culture & Engagement: Cultivate a learning-focused environment that enhances employee retention and fosters professional growth. AI/ML Integration: Lead AI/ML initiatives for demand forecasting, recommendation engines, and real-time decision-making tools. Platform Scalability: Oversee cloud-native, microservices-based systems ensuring performance at high request rates (RPS). Community of Practice: Lead or contribute to technical standards and best practices across engineering teams. Qualifications & Skills 12+ years in software engineering with 8+ years managing large teams (20+) in distributed cloud environments. Proven leadership experience in scaling complex projects and managing high-performing engineering teams. Expertise in microservices, event-driven architectures (Kafka, RabbitMQ), and proficiency in Java, Python, Go, or .Net. Deep knowledge of cloud-native technologies including Kubernetes, Istio, and Terraform. Strong communication and interpersonal skills for cross-functional collaboration. Experience with learning frameworks and fostering continuous team development. Track record of driving platform scalability, reliability, and security at scale. Competitive Compensation: Attractive base salary with medical benefits and performance-based incentives. Career Growth: Access to continuous learning platforms and opportunities to shape your career trajectory. Flexible Work Environment: Encouraging work-life balance with flexible policies. Innovative Culture: Work alongside passionate teams dedicated to transforming global business travel technology.

Role: Senior Analyst Data Engineering Location: Bengaluru, Karnataka, India Experience: 3 6 Years Employment Type: Permanent, Full-Time About the Role We are looking for a results-driven Senior Data Engineer to join our high-performing data team in Bengaluru. The ideal candidate will have 3 6 years of experience in data engineering, AI/ML implementation, and working with large-scale databases like Snowflake and Teradata. If you're passionate about driving data-powered insights, building scalable solutions, and applying advanced machine learning and AI techniques, we want to hear from you. Key Responsibilities Design, develop, and implement machine learning models to solve complex business challenges. Apply AI techniques, including generative AI, NLP, and computer vision, to improve analytics capabilities. Use Tableau, Power BI, and other tools to develop insightful, interactive data dashboards. Manage and optimize large datasets using platforms like Snowflake, Teradata, and SQL/NoSQL databases. Collaborate with business and technical teams to translate requirements into robust data engineering solutions. Guide junior data professionals and foster a culture of learning and innovation. Communicate analytical findings clearly to non-technical stakeholders. Stay current with the latest in data science, machine learning, cloud platforms, and big data technologies. Key Skills & Technologies Machine Learning & AI Techniques: Supervised & unsupervised learning, deep learning, neural networks Reinforcement learning, decision trees, random forests, clustering NLP, computer vision, GANs, transfer learning Data Visualization Tools: Tableau, Power BI, Matplotlib, Seaborn, Plotly Programming Languages & Libraries: Python (essential), R, SQL TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Keras, SciPy Databases & Data Management: Snowflake, Teradata, SQL/NoSQL, ETL, data lakes, data warehousing Cloud Platforms: AWS, Azure, Google Cloud Platform (GCP) Big Data Technologies: Apache Spark, Hadoop

Senior Customer Success Engineer I Bangalore (EST Shift, Hybrid) Location: Bangalore, India Work Model: Hybrid (3 days office, 2 days remote) Shift Timing: 8:30 PM 5:30 AM IST (EST hours) About Rubrik s Global Customer Support & Success Team Rubrik s Global Customer Support and Success Organization is dedicated to delivering a world-class post-purchase experience. Our team provides expert post-deployment technical support for a broad spectrum of technologies and cloud platforms. We ensure timely activation and adoption of Rubrik s cutting-edge SaaS data management and security products. As a Senior Customer Success Engineer, you will act as a trusted advisor and primary point of contact for our customers and partners, collaborating closely with cross-functional teams to maximize customer value. In today s data-driven world, Rubrik s Customer Support Team is vital to securing customer data. Our team s deep technical expertise, customer-centric approach, and rapid response capabilities safeguard data availability and integrity, no matter the challenges. Key Responsibilities Deliver enterprise-level technical support via phone, web, email, and chat, handling a wide range of customer inquiries and complex cloud deployment issues. Efficiently manage all levels of support cases from basic questions to advanced technical troubleshooting. Analyze customer problems using structured troubleshooting techniques to identify root causes and implement effective solutions. Independently diagnose and resolve issues within the customer environment, escalating unresolved cases appropriately. Provide expert advice on cloud infrastructure services, best practices, and Rubrik product usage. Troubleshoot and resolve escalated customer issues with urgency and precision. Ensure detailed case documentation and timely issue resolution, maintaining high levels of customer satisfaction. Collaborate with internal teams such as engineering and escalations to facilitate clear communication and problem resolution. Contribute to Rubrik s technical knowledge base by developing guides, FAQs, and deployment documentation. Produce technical designs and documentation related to cloud deployment architectures. Required Experience & Skills 6+ years of experience in enterprise technical support, DevOps, or similar roles with expertise in troubleshooting snapshots, replication, data recovery, cloud deployments, networking, and VMware administration. Strong problem-solving skills with the ability to analyze and resolve complex technical issues. Proficient in VMware, Linux, Kubernetes, Google Cloud Platform, AWS, Azure, Office 365 API, database systems (preferably MS SQL), scripting (Python, Perl), automation, microservices architecture, SaaS platforms, and cloud app management. Hands-on experience with cloud deployment technologies and tools. Ability and willingness to continuously learn and adapt across a broad technology stack. Comfortable reporting bugs and collaborating with engineering to recreate and resolve issues. Bachelor s degree in Computer Science, Engineering, or related field. Rubrik (NYSE: RBRK) is on a mission to secure the world s data. Powered by Zero Trust Data Security and advanced machine learning, Rubrik Security Cloud protects data across enterprise, cloud, and SaaS environments. We enable organizations to maintain data integrity, ensure availability despite adverse conditions, monitor risks continuously, and recover quickly from cyberattacks and operational disruptions. Join us and help shape the future of cloud data management and cybersecurity.

Senior Director - Product Location: Bangalore, Karnataka | Department: Product & Design About the Team Product Management at Meesho is at the heart of our rapid growth. We re obsessed with understanding customer behavior, allowing us to carve out a unique niche in e-commerce for customers in Tier 2/3/4 towns in Bharat. This approach has fueled our incredible growth. Meesho is trusted by nearly 5% of India s households for their shopping needs. As a Senior Director of Product, you ll collaborate with Developers, Product Managers, Designers, Data Scientists, and Engineers. We prioritize a user-first mindset, with a strong bias for action and impact. We don t just obsess over what to build we re dedicated to executing rigorously to create real-world impact. Besides the hard work, we believe in having fun! Whether you re a movie buff or a sports enthusiast, our team is a blend of fun and productivity. If a game of badminton after brainstorming sessions sounds exciting, you re going to love it here! About the Role We re looking for a visionary Senior Director - Product to lead a talented team of Product Managers, Senior Product Managers, and Product Analysts. As a Senior Director, you ll also be a key cross-functional leader, influencing senior stakeholders from Engineering, Design, Category Management, Marketing, Operations, and Finance to bring new products to life. What You Will Do Own complex and high-impact product charters: Lead strategic initiatives that significantly impact Meesho s growth. Define a compelling product vision: Shape the vision and strategy for your organization, influencing cross-functional teams to align with it. Problem discovery and prioritization: Identify critical problems and break them into smaller, solvable components. Use structured thinking to prioritize them effectively. Innovation through technology: Work with cross-functional teams to brainstorm technology-led ideas to solve prioritized problems. Test ideas using MVPs and prototypes. Ensure high product quality: Oversee product quality through rigorous processes like user acceptance testing and dogfooding. Go-to-market strategy: Develop a comprehensive plan with business and marketing stakeholders to ensure the product's success post-launch. Track product performance: Define key product metrics and monitor them, using data to influence decisions and actions that drive results. Build and manage a product roadmap: Maintain a forward-looking product roadmap that addresses key business and customer needs over at least the next three months. Lead and mentor teams: Guide and inspire a direct team of Product Managers and Product Analysts to deliver exceptional results. What You Will Need 14+ years of experience, with at least 10+ years in product management at a tech-led company (preferably consumer internet) Proven experience in building and leading high-performing teams Exceptional problem-solving skills based on first principles thinking Strong technology understanding and familiarity with product management processes like A/B experimentation Experience managing a direct reporting team of Product Managers About Us Welcome to Meesho, a platform that s revolutionizing how businesses in India grow and thrive. From a single idea, Meesho has become the e-commerce destination for the next billion Indian consumers and aims to empower 100 million small businesses to succeed online. We provide sellers with innovative benefits like zero commission and the lowest shipping costs, while providing them access to Meesho s robust customer base, state-of-the-art tech infrastructure, and pan-India logistics. More than 1.75 million sellers rely on us, which has allowed us to make inroads with first-time internet users across India. Our Mission Democratizing Internet Commerce for Everyone Meesho s mission is to enable 100 million small businesses to succeed online. We cater to the underserved and unique customer base in every serviceable pin code across the country. Our continuous innovation and unique business model have made us India s first horizontal e-commerce company. Culture & Total Rewards At Meesho, we are dedicated to creating a dynamic and high-performing workplace. We are committed to hiring exceptional talent and nurturing their growth. Our culture is built around our 11 guiding principles, or Mantras, which influence everything from performance reviews to talent development discussions. What We Offer: Market-leading compensation including both cash and equity-based compensation tailored to the role and experience Holistic wellness support through the MeeCare Program, focusing on physical, mental, financial, and social well-being Comprehensive medical insurance benefits for employees and their families, including wellness initiatives like telehealth services and gym discounts Generous leave policies, parental support benefits, retirement benefits, and learning and development opportunities Personalized gifts, performance recognition, and engagement activities that make work fun and rewarding Additional benefits like salary advance support, relocation assistance, and flexible benefits plans to further enrich your experience

Engineering Manager - Backend Location: Bangalore, Karnataka | Department: Tech About the Team At Meesho, where 5% of Indian households shop, our tech team builds highly scalable backend systems to handle millions of daily orders with zero downtime. That s the engineering excellence powering our rapid growth. We prioritize speed, autonomy, and a growth mindset, with a strong culture of ownership through our Founder s Mindset philosophy. Our team is passionate, collaborative, and supportive. Whether we re solving high-impact problems or unwinding over chai and books, we believe in working hard and having fun. If you're excited to build impactful solutions in a fast-paced environment, come join us. About the Role We re seeking a seasoned Engineering Manager - Backend to lead high-performing backend engineering teams. You ll drive technical excellence, deliver scalable systems, and mentor engineers across multiple projects. With a hands-on background in distributed systems, databases, cloud infrastructure, and team leadership, you ll play a pivotal role in defining how Meesho scales its backend platforms. What You Will Do Design and assign technical tasks aligning with Meesho s backend architecture guidelines. Manage a team of software engineers; mentor and conduct regular performance reviews. Monitor progress across multiple projects; conduct sprint reviews and track OKRs. Collaborate cross-functionally with product, sales, and design to deliver innovative backend solutions. Own product scalability, system performance, and engineering efficiency. Plan and report engineering deliverables with regular updates and documentation. What You Will Need Bachelor s or Master s degree in Computer Science or related field. Minimum 7+ years of backend development experience with 2+ years in engineering management. Proficient in Java or Python and multithreading programming paradigms. Strong understanding of transactional and NoSQL databases like MySQL, PostgreSQL, MongoDB, etc. Expertise in Kafka or other messaging systems. Experience managing cloud infrastructure (AWS or GCP). Bonus: Familiarity with Elasticsearch, data pipelines, or real-time data processing. Hands-on experience building large-scale, distributed backend systems. Excellent team-building and leadership skills; ability to mentor junior and senior engineers alike. About Us Meesho is India s leading social commerce platform, redefining online shopping for the next billion users. With over 1.75 million sellers and industry-first benefits like zero commission and the lowest shipping costs, we are empowering small businesses to thrive online. Our unique model serves the underserved and first-time online buyers across tier-2+ cities, making commerce affordable, inclusive, and hyperlocal. We are the first Indian horizontal e-commerce company to achieve this scale. Our Mission Democratizing internet commerce for everyone that s our mission. From helping 100 million small businesses go digital to reaching every serviceable pincode in India, we aim to make Meesho Meri Shop for every Indian. Culture & Total Rewards We foster a people-first, performance-driven culture rooted in our 11 guiding principles our Mantras. These values shape everything from recognition to feedback loops and internal growth. Our rituals like Reflections, Listen or Die, and our Internal Mobility Program bring our culture to life every day. We Offer: Market-leading compensation competitive salary, equity, and bonuses. Health & wellness MeeCare program with extensive medical coverage, mental health support, wellness events, and gym benefits. Generous leave policies including parental support, vacation, and sick leave. Learning and development access to programs, mentorship, and tools to grow your career. Relocation & flexible benefits salary advances, relocation assistance, and customizable plans. Employee recognition performance-based rewards, gratitude gifts, and a vibrant, engaging workplace. Qualification : Bachelors or Masters degree in Computer Science or related field.

Engineering Manager Data Location: Bangalore, Karnataka | Department: Tech About the Team At Meesho, we power millions of orders daily with zero downtime thanks to our cutting-edge data and backend systems. Our engineering culture is built on speed, ownership, and a growth mindset. We embrace failures as learning opportunities and foster a 'Founder s Mindset' across all engineering teams. We're passionate technologists, team players, and storytellers just as comfortable building robust data platforms as we are bonding over books, games, or chai. If you're ready to lead a team building high-impact, real-time data systems that touch millions of users, come join us. About the Role We are seeking an experienced Engineering Manager Data to lead our data engineering initiatives. You ll be responsible for building scalable data platforms, managing distributed systems, and ensuring data accuracy, accessibility, and real-time analytics capabilities. This role combines technical depth, strategic thinking, and team leadership to build next-gen data systems powering Meesho s mission. What You Will Do Design and allocate technical tasks based on Meesho s data engineering standards and architecture. Lead and mentor a team of data engineers; conduct regular performance reviews and provide growth feedback. Oversee development of scalable, distributed data systems across streaming and batch pipelines. Collaborate with Product, Design, and Sales teams to create innovative data-driven products and features. Monitor project progress, drive sprint planning, and report on key metrics using OKRs. Promote engineering best practices, data quality standards, and cloud-native development. What You Will Need Bachelor s or Master s in Computer Science or a related field. 8+ years of overall experience, with 4+ years managing software/data engineering teams. Hands-on expertise in Java, Python, or Go and multithreading. Experience with distributed data systems, including Apache Spark, Kafka, and streaming architectures. Deep understanding of relational and NoSQL databases. Proficient in cloud platforms (preferably AWS) and containerized deployments. Experience in data modeling, pipeline architecture, and data quality frameworks. Familiarity with BI tools like Tableau, Metabase, or Superset. Good to have: Knowledge of Trino, Flink, Presto, Druid, Pinot, and real-time analytics platforms. Strong project and stakeholder management; ability to lead cross-functional teams. About Us Meesho is India s fastest-growing e-commerce platform on a mission to democratize internet commerce for every Indian. With 1.75M+ sellers and millions of active customers, we offer zero commission, the lowest shipping costs, and unparalleled reach across every serviceable pincode in India. We're building Meesho to be Meri Shop for the next billion users empowering small businesses and first-time entrepreneurs to sell and thrive online. Our Culture & Total Rewards Our culture is rooted in impact, innovation, and inclusivity. Guided by 11 core principles or "Mantras", we empower our teams to think big, move fast, and grow constantly. Daily rituals like Reflections and Listen or Die ensure everyone has a voice and a growth path. What We Offer: Competitive Compensation including salary, performance bonuses, and equity. Wellness & Insurance via our MeeCare program, with extensive coverage for employees and families, plus mental health and wellness initiatives. Work-Life Balance with flexible work hours, generous leave policies, and parental support. Learning & Development with courses, mentorship, and career mobility through our Internal Mobility Program. Perks & Benefits including salary advances, relocation support, recreational discounts, and employee gifts. Join us to lead the data transformation at Meesho and help shape the future of commerce for India s next billion users. Apply now to make your mark! Qualification : Bachelors or Masters in Computer Science or a related field.

Engineering Manager Platform Engineering Location: Bangalore, Karnataka | Department: Tech About the Team At Meesho, we support 5% of Indian households with high-scale e-commerce solutions and we do it with zero downtime. We value speed over perfection, embrace failures as learning opportunities, and empower teams with a Founder s Mindset. As part of the Platform Engineering team, you ll be building resilient, low-latency, high-throughput systems that serve millions of users daily. We invest in the growth of every engineer through continuous feedback, open communication, and a supportive culture. And yes we know how to party as hard as we code. About the Role We are looking for a skilled Engineering Manager Platform Engineering to lead a team responsible for designing, scaling, and optimizing our core infrastructure. This role involves managing large-scale distributed systems, fostering engineering excellence, and collaborating across teams to drive innovation. You ll ensure technical quality, delivery speed, and scalable architecture for all projects under your ownership. What You Will Do Design and allocate technical tasks while maintaining Meesho s engineering standards. Own execution of platform projects from inception to deployment, ensuring scalability and reliability. Conduct regular 1:1s, drive feedback cycles, and support career growth of engineers. Partner closely with Product and Design teams to develop new platform capabilities. Coach engineers on best practices for architecture, performance, and scalability. Monitor project health, sprint progress, and engineering KPIs. Foster a high-performing team culture with strong engineering ownership. What You Will Need Bachelor s or Master s degree in Computer Science or a related technical field. 8+ years of professional software development experience, including 1+ year in team management. Proven experience building large-scale distributed systems. Strong coding skills in Java, Python, or Go, and multithreading expertise. Deep understanding of messaging systems (Kafka, etc.), transactional and NoSQL databases. Experience working on cloud platforms like GCP or AWS. Exceptional communication, leadership, and stakeholder management skills. Good to have: Exposure to Elasticsearch, data pipelines, or stream processing systems. About Us Meesho is India s leading e-commerce platform built for the next billion users. With 1.75M+ sellers and a customer base spread across every serviceable pin code, we are democratizing internet commerce by enabling small businesses to sell online at zero commission and with the lowest logistics costs in the industry. From affordable products that reflect local demand to a robust pan-India tech infrastructure, Meesho is transforming how India shops and sells online. Our Culture & Total Rewards At Meesho, we believe in creating a culture of impact, inclusion, and innovation. Our values reflected in 11 guiding principles or "Mantras" shape how we work, collaborate, and grow together. Why You ll Love Working Here: Compensation: Competitive salary with equity-based rewards tailored to your experience and impact. Wellness: Extensive health insurance for you and your family through our MeeCare Program, mental wellness support, gym discounts, and more. Flexibility & Leave: Generous time off, parental benefits, and relocation support. Growth & Learning: Continuous learning through workshops, internal mobility, and performance coaching. Culture of Recognition: Personalized gifts, fun rituals, and regular engagement programs celebrating wins big and small. Join us to build the platform powering the future of digital commerce in India. Apply now and be part of a tech-first, people-driven journey at Meesho. Qualification : Bachelors or Masters degree in Computer Science or a related technical field.

Engineering Manager Location: Bangalore, Karnataka Full Time Experience: 8 - 12 Years About the Role Swiggy is looking for a passionate and hands-on Engineering Manager to join our high-performing tech team in Bangalore. You will play a pivotal role in driving the technology vision and strategy for the Food, Instamart, and Dineout business lines, building scalable platforms that power promotions, pricing, and ads across millions of daily interactions on the Swiggy app. This role is ideal for an experienced engineering leader who thrives in a fast-paced environment, can architect scalable systems, and enjoys mentoring and growing high-performing engineering teams. Key Responsibilities Lead a cross-functional team of backend and frontend engineers to build scalable and high-quality software solutions. Collaborate closely with Product Managers, Designers, and Business stakeholders to deliver robust, user-centric products. Co-own and drive the technology vision and architectural decisions for the team and product. Create clear career paths for team members and guide their development and growth. Mentor and coach team leads, senior engineers, and architects across the team. Drive the adoption of best software engineering practices including code reviews, testing, CI/CD, and design standards. Ensure timely delivery and consistent execution on business goals while maintaining technical excellence. 8 12 years of software development experience with at least 1 2 years in a people management or technical leadership role. Proven ability to lead engineering teams of 10+ developers in a dynamic, growth-focused environment. Strong hands-on experience with backend technologies like Java, Golang, Python, and related frameworks. Experience with web technologies, distributed systems, microservices architecture, and high-volume data pipelines. Strong foundation in databases: MySQL, NoSQL, Redis, and cloud technologies (e.g., AWS). Track record of building and scaling systems for products with high user engagement and traffic. Strong problem-solving, analytical, and technical decision-making skills. Excellent communication and stakeholder management skills. As part of Swiggy s Food Tech team, you will directly contribute to Swiggy s mission of becoming the King of Convenience. This is a high-impact leadership role that allows you to shape products used by millions, influence technical strategy, and build a world-class engineering team in one of India s leading consumer tech companies. Equal Employment Opportunity Swiggy is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees regardless of race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status.

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: Cloud-Based AI Developer - Advanced Analytics Group (AAG) Company: Bain & Company Job Type: Full-Time Employment Type: Permanent What Makes Us a Great Place to Work: We are proud to be consistently recognized as one of the world s best places to work, a champion of diversity, and a model of social responsibility. We are currently ranked #1 on Glassdoor's Best Places to Work list, and we have maintained a spot in the top four for the last 13 years. Diversity, inclusion, and collaboration are key to building extraordinary teams. We hire people with exceptional talents, abilities, and potential, creating an environment where you can thrive both professionally and personally. We are publicly recognized for being a great place to work for diversity and inclusion, women, LGBTQ, and parents. Who You ll Work With: As a member of Bain s Advanced Analytics Group (AAG), you will work alongside generalist consultants to help clients across industries solve their biggest problems using expertise in data science, customer insights, statistics, machine learning, data management, supply chain analytics, and data engineering. AAG team members hold advanced degrees in computer science, engineering, AI, data science, physics, statistics, mathematics, and other quantitative disciplines, with backgrounds in tech, data science, marketing analytics, and academia. We are committed to building a diverse and inclusive team and encourage candidates of all backgrounds to apply. What You ll Do: As a member of the AAG, you will be responsible for designing, developing, and maintaining cloud-based AI applications that provide high-quality, scalable, and secure solutions for our clients. Your work will encompass the full stack, from API design to deployment, delivering analytics solutions across various sectors. Cloud-Based AI Development: Design, develop, and maintain cloud-based AI applications, ensuring scalability and security, leveraging full-stack technology solutions. Cross-Functional Collaboration: Work with product managers, data scientists, and other engineers to define and implement analytics features that meet business requirements. Cloud and Containerization: Use Kubernetes and containerization technologies to deploy, manage, and scale applications in cloud environments for optimal performance. API & Microservices Development: Develop and maintain APIs and microservices to expose analytics functionality, adhering to industry best practices for design and documentation. Security and Compliance: Implement robust security measures to protect sensitive data and ensure compliance with data privacy regulations. Troubleshooting and Performance Monitoring: Continuously monitor and troubleshoot application performance, resolving issues impacting system reliability and user experience. Code Reviews and Best Practices: Participate in code reviews and contribute to the establishment of coding standards to ensure high-quality, maintainable code. Emerging Trends and Technologies: Stay current with emerging trends in cloud computing, data analytics, and software engineering to enhance the platform s capabilities. Collaboration with DevOps: Work with DevOps and infrastructure teams to automate deployment and release processes, optimizing the development workflow. Client Collaboration: Collaborate closely with business consulting teams to assess opportunities and develop analytics solutions across sectors. Education and Influence: Influence and educate clients on analytics application engineering capabilities, supporting their teams directly. Travel: Expect occasional travel (30%) for project work. About You: Required Qualifications: Education: Master s degree in Computer Science, Engineering, or a related technical field. Experience: 3+ years of experience at Senior or Staff level, or equivalent. Expertise in client-side technologies such as React, Angular, Vue.js, HTML, and CSS. Experience with server-side technologies such as Django, Flask, and Fast API. Proficiency with cloud platforms (AWS, Azure, GCP) and Terraform automation (good to have). 3+ years of expertise in Python. Experience using Git for version control and collaboration. Familiarity with DevOps, CI/CD, and tools like GitHub Actions. Demonstrated interest in LLMs, prompt engineering, and Langchain. Experience with workflow orchestration tools such as dbt, Beam, Airflow, Luigi, Metaflow, Kubeflow, or similar. Experience in the implementation of large-scale structured or unstructured databases, as well as containerization technologies like Docker and Kubernetes. Skills and Knowledge: Strong interpersonal and communication skills to explain complex engineering topics to colleagues and clients from various disciplines. Curiosity, proactivity, and critical thinking. Solid computer science fundamentals in data structures, algorithms, automated testing, object-oriented programming, performance complexity, and software architecture. Expertise in designing API interfaces and knowledge of data architecture and database schema design. Familiarity with agile development methodologies. Join Bain & Company: Become a part of a forward-thinking team committed to solving complex problems, building innovative solutions, and delivering impactful data analytics and AI solutions. Collaborate with talented professionals and gain valuable experience that shapes the future of data analytics and AI. Qualification : Masters degree in Computer Science, Engineering, or a related technical field.

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.