Data AND 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.

Job Title: Senior Data Business Partner Location: Bengaluru Department: Data & Analytics Experience: Senior-level Company: OSB India (Offshore subsidiary of OSB Group) About OSB India: OSB India (OSBI) is a wholly owned offshore subsidiary of OSB Group, a leading UK financial services provider. Established in 2004, OSBI delivers exceptional customer support and operational services to the Group s UK brands. Known for driving process excellence, innovation, and functional efficiencies, OSBI is a key strategic arm supporting the Group s long-term goals. Role Overview: We are looking for a Senior Data Business Partner to bridge the gap between business and data analytics. In this role, you will collaborate with business leaders to identify analytical needs, design data-driven solutions, and drive adoption of data across the organization. This is a high-impact role requiring strong analytical acumen, stakeholder management skills, and a passion for delivering insights that support strategic decision-making. Key Responsibilities: Build trusted relationships with business stakeholders to understand their data needs and priorities. Collaborate cross-functionally to translate complex business challenges into data solutions. Lead in-depth analysis using market-standard algorithms and modelling techniques. Ensure adherence to Data Governance standards, policies, and controls. Deliver timely, accurate, and well-documented data content and insights. Advise on analytics delivery planning across projects and business functions. Enable self-service analytics by training business users on available tools and platforms. Advocate and implement innovations in AI, Machine Learning, and data analytics. Partner with Data Engineering and Architecture teams, ensuring adherence to technical standards and best practices. Present findings and strategic insights to senior management and governance forums. Mentor team members on analytical approaches and best practices. Promote a culture of continuous improvement, innovation, and high-quality data usage. Champion the use of central data repositories, relational models, and the Data Warehouse to deliver consistent and reliable BI outputs. Identify risks related to data or projects and escalate when necessary. Support internal training efforts to improve data literacy across departments. Ensure compliance with Risk Management and Data Governance policies. Stay current on industry trends, tools, and technologies to enhance analytics capability. Candidate Profile: Qualifications: Bachelor s or Master s degree in Data Science, Computer Science, Business Analytics, Statistics, or a related field. Certifications in data analytics, data science, or relevant tools/platforms are a plus. Experience: 6+ years in a business-facing data analytics role, ideally within financial services or technology. Strong experience in data analysis, modelling, and data storytelling. Proven ability to work with senior business stakeholders and executive teams. Experience in mentoring and leading analytics professionals. Demonstrated expertise in translating business needs into actionable insights. Technical Skills: Proficiency in tools such as Power BI, Tableau, SQL, Python/R, or Excel for data analysis. Familiarity with data warehousing, ETL processes, and relational databases. Understanding of data governance, risk, and compliance frameworks. Exposure to AI/ML applications in business contexts is a strong advantage. Behavioral Competencies: Excellent communication and presentation skills. Strong business acumen with the ability to drive value from data. Strategic thinking with a problem-solving mindset. Collaborative, adaptable, and proactive. At OSBI, we believe in empowering individuals to grow both personally and professionally. Whether you re early in your career or a seasoned expert, we provide an inclusive and supportive environment to help you thrive. Be a part of a connected organization where your contributions make a difference and your career is a journey, not a destination. Qualification : Bachelors or Masters degree in Data Science, Computer Science, Business Analytics, Statistics, or a related field

Job Title: Senior Product Manager Location: Bangalore North, Karnataka, India Job Type: Full-Time Industry: Mobile Gaming / Entertainment About Us We are one of India s fastest-growing and most exciting mobile gaming companies. Founded in 2014, in partnership with Modern Times Group (MTG), our vision is to create simple, impactful casual game experiences at a massive scale. We have built a global network of chart-topping games supported by powerful tech and analytics infrastructure. Our product portfolio includes evergreen hits like Daily Themed Crossword, WordTrip, WordJam, WordWars, WordTrek, TileMatch, and Jigsaw. Position Summary PlaySimple Games is seeking an experienced Senior Product Manager to own and drive the entire product lifecycle for our games. This is a hands-on leadership role involving end-to-end ownership of the product roadmap, strategic planning, and cross-functional collaboration to ensure the continued success of our products. Key Responsibilities Full Product Lifecycle Management: Lead product vision, competitive analysis, requirements gathering, feature prioritization, roadmap planning, and partner alignment. Strategy & Collaboration: Develop and drive product strategy and specifications, working closely with game teams to meet product goals. Performance Metrics: Define KPIs and measure product success using qualitative insights and quantitative data to inform decisions. Customer Needs & Feedback: Deeply understand player needs and create continuous feedback loops with product and engineering teams for iterative improvement. Integration Recommendations: Collaborate with product and engineering leads to recommend optimal integration solutions tailored to game teams. Team Development: Train, mentor, and manage a team of Product Managers and Business Analysts, supporting their growth and development. Product Evangelism: Advocate for product value internally and externally, articulating how our products solve user challenges. Competitive Analysis: Analyze competitors and market trends to generate actionable insights that shape the product roadmap. Cross-Team Collaboration: Work closely with product, engineering, and design teams within Central Technology to drive innovation and foster a positive work culture. Requirements Experience: 6-8 years in product management, preferably with digital products, games, or mobile apps. Consumer Product Expertise: Background in web/mobile consumer products, user acquisition, and growth strategies is highly preferred. Product Management Skills: Proven ability to build successful products that meet customer needs and business objectives. Strategic Judgment: Strong decision-making skills with the ability to develop clear, measurable objectives aligned to business goals. Data-Driven: Experience applying lean, data-driven principles; familiarity with data analytics and SQL is a plus. Project Management: Exceptional organizational skills with experience presenting to executive leadership. Technical Proficiency: Skilled in creating wireframes, product specs, and documentation. Communication: Excellent written and verbal communication skills with high attention to detail. Self-Starter & Team Player: Proactive, driven, and collaborative with a passion for product excellence.

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.

Job Title: Business Analyst | 3-5 Years Experience | Product Management, Strategy Consulting | Bangalore, India Location: Bangalore, Karnataka, India About Goavega: Goavega is seeking a skilled Business Analyst/Product Manager with 2 to 3 years of hands-on experience in the Energy, Media, or Sports industry domains and a total of 4 to 7 years of professional experience. This role plays a key part in driving strategic consulting, business analytics, and product design execution to deliver innovative solutions that create real business value. Key Responsibilities: Strategic Planning and Vision: Define product vision, strategy, and roadmap aligned with business goals Conduct thorough market research and competitive analysis to identify growth opportunities and potential risks Collaboration and Execution: Partner with cross-functional teams including design, development, and client stakeholders to deliver impactful products Gather, document, and translate business requirements into clear technical specifications Work closely with development teams to ensure solutions meet business objectives and are delivered on time Performance Analysis and Improvement: Monitor and analyze product performance metrics to suggest improvements and enhancements Lead user acceptance testing (UAT) and ensure products meet business and customer needs Advisory and Decision Support: Prepare and present data-driven business cases to senior leaders and clients to support strategic decisions Assist in identifying new growth opportunities and defining strategic imperatives Thought Leadership and Expertise: Conduct quantitative and qualitative market and competitive research to inform product strategy Stay updated with industry trends and contribute to thought leadership and innovation initiatives Qualifications: Bachelor s degree in Engineering, Design, Computer Science, or a related field MBA or master s degree in design or product management is preferred 2+ years of experience in product management, business analysis, strategy consulting, or business analytics Strong analytical, problem-solving, and communication skills Ability to thrive in a fast-paced, dynamic work environment Preferred Skills: Knowledge of Automotive, Energy, CPG/FMCG, Mobility hubs, Media, and Sports industry landscapes Expertise in building strategies using data analytics and research methodologies Excellent ability to simplify and present complex information for diverse audiences Proactive learner with hypothesis-led problem-solving skills Familiarity with UX/UI design principles and statistical analysis methods Experience in business case development, requirement gathering, product roadmaps, and use case creation Programming knowledge in Python is a plus Open Positions: 1 Be part of a forward-thinking company driving innovation across multiple industry verticals Collaborate with cross-functional teams to create impactful, data-driven products Opportunity to grow professionally and make strategic contributions Qualification : Bachelors degree in Engineering, Design, Computer Science, or a related field

Pipeline and GTM Senior Data Analyst Location: Bangalore, India About the Role Rubrik s Pipeline & GTM Strategy and Analytics team seeks a Senior Pipeline and GTM Data Analyst to ensure high-quality data for pipeline development, measurement, and operational efficiency. Reporting to the Senior Manager of Pipeline & GTM Strategy and Analytics, you will play a key role in pipeline analytics, dashboard creation, and providing operational support for the Sales Development Representative (SDR) team. Your analytical expertise will empower data-driven decisions to accelerate growth. Key Responsibilities SDR Operations Support: Support territory and quota planning to grow the Inside Sales organization and drive revenue. Analyze strategic funnel metrics and measure sales performance. Administer and optimize sales tools like Salesforce (SFDC), Outreach, ZoomInfo, LinkedIn Sales Navigator, and more. Enhance lead routing and customer-facing messaging processes. Collaborate with Sales, Marketing, and IT teams to improve lead qualification and pipeline growth. Use data-driven insights to improve Inside Sales functions, incorporating input from cross-functional teams such as Marketing and Finance. Analytics & Reporting: Build, prepare, and analyze reports to support pipeline analytics and special projects that drive pipeline growth (PG) attainment. Create and maintain real-time dashboards for actionable insights. Validate and ensure data quality for SDR and pipeline dashboards. Continuous Improvement & Innovation: Enhance data management processes for improved efficiency and accuracy. Stay current with industry best practices in data analytics and management. Implement new tools and techniques for better data preparation and validation. Cross-Functional Collaboration: Facilitate smooth communication between SDR Operations and Analytics teams. Provide accurate, timely data to all relevant teams for informed decision-making. Participate in team meetings, offering data-driven recommendations. Required Skills and Experience 5+ years in Sales Operations, Strategy, or a related analytical role. Bachelor s degree or equivalent practical experience. Strong communication skills (written and oral). Self-starter with the ability to work independently and collaborate across all business levels. Salesforce (SFDC) administration experience. Advanced proficiency in Microsoft Excel or Google Sheets, including complex modeling and robust analysis. Experience with Microsoft Office suite (Word, Excel, PowerPoint, Outlook). Skilled in data visualization tools such as Tableau, PowerBI, or similar. Comfortable managing and analyzing large datasets. Preferred: Experience with SQL and/or Python for data querying and automation. Rubrik (NYSE: RBRK) is on a mission to secure the world s data. With Zero Trust Data Security , we help organizations build resilience against cyberattacks, insider threats, and operational disruptions. Our AI-powered Rubrik Security Cloud protects data across enterprise, cloud, and SaaS applications, ensuring integrity, availability, and rapid business recovery.

Data Engineer Experience: 5+ Years Location: Bangalore, Karnataka, India Job Type: Full Time Job Summary We are looking for a talented Data Engineer with over 5 years of experience and a strong foundation in machine learning development to join our team in Bangalore. The ideal candidate will have hands-on expertise in Python programming, machine learning basics, and computer vision techniques like custom object detection and OCR. Key Responsibilities Develop and maintain data pipelines supporting machine learning models and data analytics. Implement custom object detection algorithms and OCR solutions using computer vision techniques. Utilize Python ML libraries such as OpenCV, SciPy, NumPy, Matplotlib, Pandas, Scikit-learn, Keras, PyTorch, and TensorFlow. Collaborate with data scientists and software engineers to optimize data workflows and ML model deployment. Ensure data quality, integrity, and scalability within data infrastructure. Troubleshoot and improve existing machine learning systems and pipelines. Required Skills Minimum of 5 years of experience in data engineering or related roles. At least 2 years of hands-on experience as a Machine Learning developer. Strong programming skills in Python. Solid understanding of machine learning fundamentals. Practical experience with custom object detection and OCR applications. Proficiency in key Python libraries for machine learning and data processing. Ability to work collaboratively in cross-functional teams. Qualifications Any graduate degree from a recognized university. Work with cutting-edge machine learning technologies in a supportive, innovative environment in Bangalore. Grow your career by solving complex problems and building impactful data solutions with a passionate team. Qualification : Any graduate degree from a recognized university.

Staff Software Engineer Databases Location: Bengaluru, India Company: Databricks About Databricks Databricks is a leading data and AI company powering over 10,000 organizations globally, including half of the Fortune 500. Founded by the original creators of Apache Spark , Delta Lake, and MLflow, Databricks offers a unified platform for data, analytics, and AI, enabling enterprises to innovate with confidence. With its global presence and a growing Bengaluru team, Databricks is rapidly expanding. Role Overview As a Staff Software Engineer in Bengaluru, you ll work within Backend or Distributed Data Systems (DDS) teams to build scalable, reliable, and high-performance services powering Databricks data and AI platform. You will tackle challenges ranging from distributed systems and cloud storage to service architecture, workflow orchestration, and developer experience. Key Responsibilities Develop large-scale distributed backend services, including managing cloud storage backends like AWS S3 or Azure Blob Store. Build and maintain infrastructure that supports millions of cluster-hours per day. Contribute to key DDS projects such as Apache Spark , Delta Lake, and performance engineering. Design and implement high-performance, reliable, and scalable systems and client libraries. Collaborate cross-functionally to drive innovation in cloud-native data processing and storage. Qualifications BS or higher in Computer Science or related field. 10+ years of production software engineering experience in Python, Java, Scala, C++, or similar. Proven experience developing large-scale distributed systems from the ground up. Experience with SaaS platforms or Service-Oriented Architectures. Benefits & Culture Competitive benefits tailored to employees needs. Committed to fostering a diverse, inclusive, and equitable work environment. Diversity & Inclusion Statement Databricks ensures equal employment opportunities regardless of age, race, gender, ethnicity, disability, sexual orientation, veteran status, or other protected characteristics, striving for a welcoming and inclusive workplace. Qualification : BS or higher in Computer Science or related field.

Data Engineer, Product Analytics Location: Bangalore, India Full Time Company: Meta Meta is looking for an experienced Data Engineer to join our Product Analytics team. In this role, you will work on some of the most extensive data sets in the world, crafting experiences for billions of people and millions of businesses. Your technical expertise and analytical mindset will help shape data solutions across Meta to drive user experience optimization, growth, and strategy. You'll work alongside software engineers, data scientists, and product managers to tackle the most interesting data challenges at a scale few companies can match. Key Responsibilities: Conceptualize and own the data architecture for multiple large-scale projects, balancing design and operational cost-benefit tradeoffs. Design and contribute to frameworks that improve logging data efficacy, working with data infrastructure teams to resolve issues. Collaborate with engineers, product managers, and data scientists to understand data needs and represent insights meaningfully. Define and manage Service Level Agreements (SLAs) for all data sets in allocated areas of ownership. Implement and maintain security models based on privacy requirements and ensure safeguards are followed to ensure data quality. Design, build, and launch sophisticated data models and visualizations that support multiple use cases across various products. Address complex data integration challenges using optimal ETL patterns, frameworks, and techniques from structured and unstructured data sources. Optimize existing processes, pipelines, dashboards, and systems to enhance the development of data artifacts. Influence product and cross-functional teams to identify data opportunities that will drive impact. Mentor junior team members by providing constructive feedback and receiving feedback to grow as a team. Minimum Qualifications: Bachelor s degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience. 4+ years of experience in roles focused on data engineering, data analysis, or similar positions, working with SQL, ETL, data modeling, and programming languages (e.g., Python, C++, Scala). Experience with SQL, ETL processes, and data modeling, along with at least one programming language (e.g., Python, C++, C#, Scala). Preferred Qualifications: Master's or Ph.D. degree in a STEM field (Science, Technology, Engineering, Mathematics). About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. Since launching Facebook in 2004, we have revolutionized how people connect. Our apps, including Messenger, Instagram, and WhatsApp, empower billions worldwide. Now, Meta is moving beyond 2D screens towards immersive experiences like augmented and virtual reality, building the next evolution in social technology. When you join Meta, you help shape the future of digital connection, taking us beyond screens, distance, and even the rules of physics. Equal Employment Opportunity: Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based on race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Qualification : Bachelors degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience.

Data Engineer (Python/Dataiku/Spark/SAS DI) Location: Bangalore Type of Employment: Full-Time Experience Required: 3 to 5 years Job Overview: We are looking for a passionate Data Engineer with expertise in Python, Dataiku, Spark, or SAS DI to join our dynamic team. In this role, you will collaborate with clients to build data pipelines that support their Data and Analytics journey. As a member of our team, you will be responsible for driving data engineering initiatives, developing and implementing ETL solutions, and optimizing data workflows for efficiency and scalability. Key Responsibilities: Data Engineering Initiatives: Collaborate with clients to define and implement data engineering initiatives based on business needs. ETL Development: Design and develop data integration solutions using tools like Python, Dataiku, Spark, and SAS DI. Develop and maintain automated data pipelines for real-time and batch data ingestions. Performance Tuning: Conduct performance tuning and optimize queries and data models to enhance performance and scalability. Database Design: Design and implement database objects such as tables, views, schemas, and stored procedures. Ensure data quality and consistency across the data warehouse. Collaboration: Work closely with cross-functional teams to translate business requirements into technical solutions and communicate effectively with clients across multiple regions. Troubleshooting: Troubleshoot and resolve data-related issues while ensuring the quality and integrity of the data. Project & Technical Leadership: Act as the technical lead or single point of contact (SPOC) for the client and internal teams, ensuring smooth project delivery. Essential Skills: Data Engineering Tools: Experience with Python, Dataiku, Spark, and SAS DI. SQL Proficiency: Strong SQL experience for extracting data from various databases and performing data analysis. ETL Development: Expertise in designing and developing ETL processes to integrate data from diverse sources into a data mart layer. Data Modeling: Understanding of data modeling concepts, including relational and dimensional modeling. BI Knowledge: Basic understanding of Business Intelligence (BI) tools and analytics needs. Communication Skills: Excellent communication skills to understand business requirements and translate them into technical solutions. Desirable Skills: Data Analysis: Strong analytical skills to perform data analysis, especially for banking products data. BI Tools: Experience with MicroStrategy or Power BI for reporting and dashboarding. Qualifications: 3+ years of experience designing and developing scalable data integration solutions. Familiarity with data analytics and reporting needs. Technical certifications that align with your continuous learning aspirations. Qualities: Strong problem-solving skills with a systematic approach to resolving issues. Ability to influence and implement change confidently. Excellent team player who works effectively in cross-functional teams. Strong communication and presentation skills, capable of interacting with clients and presenting ideas persuasively. Fluent in English, both written and spoken, for effective communication. Opportunity to work with cutting-edge data engineering tools and technologies. Be a key player in building and optimizing data pipelines for clients data and analytics needs. Competitive salary, benefits, and a dynamic, innovative work culture.

Position: Data Integration Developer (Snowflake & DBT) Location: Bangalore Employment Type: Full-time Experience Required: 5 to 7 years Purpose of the Position: This role seeks candidates who are passionate about data and motivated to address the organization's analytics challenges. As a Data Integration Developer (Snowflake & DBT), you will play a crucial role in assisting our clients with their data and analytics journey. Your responsibilities will include building robust data pipelines, enhancing data consistency, and developing the necessary infrastructure to support analytics platforms. Key Responsibilities: Technical Expertise: Develop and optimize ETL processes using Snowflake capabilities. Build and maintain advanced data models and ETL processes using DBT (Data Build Tool). Ensure efficient data transformation and integration within the data warehouse. Collaboration: Work closely with data analysts, engineers, and stakeholders to understand business requirements and translate them into technical solutions. Facilitate effective communication and collaboration across teams. Quality Assurance: Implement and oversee data quality checks and testing procedures. Ensure data accuracy, consistency, and compliance with governance policies. Documentation and Reporting: Create and maintain comprehensive documentation for ETL processes and project workflows. Provide regular updates and reports on project progress and performance metrics. Compliance and Security: Ensure all data engineering activities comply with data governance and security policies. Implement measures to protect data integrity and confidentiality. Essential Skills: Proficient in SQL: Skilled in writing efficient queries on large datasets, including CTE and database table design. Snowflake Expertise: Experience with Snowflake or other database technologies, including SQL tuning. ETL Development: Skilled in developing and optimizing ETL processes using Snowflake and other tools. DBT Experience: Familiar with DBT Core/DBT Cloud and fundamental data modeling concepts (3NF, Star, Snowflake). Data Analysis and Profiling: Experienced in data analysis and profiling tasks. Qualifications: Overall Work Experience: More than 5 years of experience, with at least 2-3 years of experience in Snowflake and DBT. Education: Bachelor's degree in Computer Science, Engineering, or a related field (Master's degree is a plus). Key Qualities: Decision Making: Ability to influence and implement change with confidence and sound decisions. Problem-Solving: Tackles problems head-on with a logical, systematic, and practical approach; follows up with developers. Communication: Ability to consult, write, and present persuasively. Team Collaboration: Works effectively in self-organized, cross-functional teams. Apply now and become an integral part of our innovative team working on cutting-edge data integration solutions! Qualification : Bachelor's degree in Computer Science, Engineering, or a related field (Master's degree is a plus).

Chief Analytics Office (CAO) - Data Scientist Location: Bangalore, Karnataka, India Job Type: Full-Time Experience Level: 2-4 years Company: IBM Chief Analytics Office (CAO) Introduction: At IBM, we believe in the power of AI and data science to transform enterprises. In the Chief Analytics Office (CAO), we work on the front lines of AI-driven enterprise transformations. By joining our team, you will collaborate with innovative leaders and contribute to solving complex problems using the latest AI and machine learning technologies. Here, your skills will not only be valued but nurtured in a dynamic, collaborative environment designed for growth and impact. Role Overview: As a Data Scientist within IBM's Chief Analytics Office, you will play a critical role in driving AI and data science initiatives across the enterprise. You will use your technical expertise to develop and deploy machine learning models and data analytics solutions that align with business objectives. This role is focused on translating data insights into actionable recommendations and leading data science projects from concept to execution. Key Responsibilities: Technical Execution and Leadership: Develop and deploy AI models and data analytics solutions. Assist in the implementation and optimization of AI-driven strategies aligned with business stakeholder requirements. Refine data-driven methodologies for enterprise transformation projects. Data Science and AI: Design, implement, and optimize machine learning solutions and statistical models. Perform end-to-end data analysis, from problem formulation through to deployment. Ensure the scalability of AI solutions by leveraging cloud platforms. Apply IBM s data science standards and reusable assets to ensure quality and consistency. Project Support: Lead and contribute across various stages of AI and data science projects, from data exploration to model development and deployment. Monitor project timelines and assist in resolving any technical challenges. Design and implement measurement frameworks to assess the business impact of AI solutions using KPIs. Collaboration: Work closely with stakeholders to ensure alignment with strategic goals. Collaborate with data engineers, software developers, and other team members to integrate AI solutions into existing systems. Provide technical expertise to cross-functional teams, fostering a collaborative environment. Required Education and Experience: Education: Bachelor s or Master s degree in Computer Science, Data Science, Statistics, or a related field. An advanced degree is strongly preferred. Experience: 2-4 years of experience in data science, AI, or analytics, with a focus on implementing data-driven solutions. Experience with data cleaning, data analysis, A/B testing, and data visualization. Hands-on experience with AI technologies through coursework or projects. Required Technical Skills: Programming and Data Analysis: Proficiency in SQL and Python for data analysis and developing machine learning models. Familiarity with machine learning algorithms such as linear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks (e.g., TensorFlow, PyTorch). Cloud Platforms & Data Processing: Experience with cloud-based platforms (e.g., AWS, Azure, IBM Cloud) and data processing frameworks. Specialized Knowledge: Knowledge of large language models (LLMs) and familiarity with IBM s WatsonX product suite. Familiarity with object-oriented programming (OOP) principles. Analytical and Soft Skills: Problem-Solving: Strong analytical skills with the ability to solve complex problems and derive actionable insights from datasets. Communication: Excellent communication skills to explain technical concepts clearly to stakeholders at various levels. Project Management: Ability to handle multiple initiatives simultaneously, prioritize effectively, and meet deadlines in a fast-paced environment. Preferred Experience: Advanced Degree: A Master s degree in a related field is strongly preferred. Impact: Work on innovative projects that directly impact enterprise transformation using the latest AI and data science techniques. Collaboration: Be part of a collaborative environment with a global team of AI experts. Growth: Develop professionally with continuous learning opportunities in the ever-evolving AI field. Work-Life Balance: IBM offers a dynamic work environment with flexibility and career growth opportunities. Apply now and join IBM's Chief Analytics Office as a Data Scientist and be part of the next generation of data-driven innovations. Qualification : A Masters degree in a related field is strongly preferred.

Location: Bengaluru Designation: Assistant Manager Entity: Deloitte Unleash Your Potential with Deloitte India's impact on the global economy has skyrocketed, and at Deloitte, we offer you an opportunity to unlock your potential by working alongside leaders and organizations that are shaping the future, both in the region and beyond. At Deloitte, we celebrate the whole you. Join us, and you ll be part of a team driven to make an impact that matters by collaborating, innovating, and growing together. About the Team The Technology & Transformation team is about more than just numbers. It s about building upon past achievements, addressing current challenges, and laying the foundation for future success. At Deloitte, we help organizations navigate change, ensuring they stay ahead of the curve. Learn more about the Technology & Transformation Practice. Your Role and Responsibilities As an Assistant Manager (AM) in our Cyber Team, you'll play a key role in building and maintaining positive relationships with both internal teams and clients. Your main goal will be to exceed client expectations and ensure their security and privacy needs are met. Key responsibilities include: Security and Privacy Expertise: Apply knowledge in security and privacy domains such as governance, risk management, compliance, access control, security architecture, incident response, disaster recovery, business continuity, data protection, etc. Industry Standards: Leverage frameworks and standards such as PCI-DSS, ISO/IEC 27001, ISO/IEC 17799, COBIT, ITIL, and others. Risk Management: Demonstrate a deep understanding of security controls and risk management processes. Certifications: Preferably hold certifications like CEH, CISSP, CISA, ISO 27001, ISO 22301, or equivalent. Information Security Management: Assist in ISO 27001-based Information Security Management System (ISMS) implementation and maintenance. Assessing and Improving Security Posture: Evaluate client information security posture, identify risks, and develop solutions to close gaps. Information Security Controls: Review and implement security controls across various areas such as change management, incident management, access management, antivirus management, physical security, etc. Data Privacy: Advise clients on data privacy and information security topics like data leakage prevention and identity management. Client Guidance: Serve as a subject matter expert in security and privacy, supporting clients in developing frameworks and implementing solutions. Audits & Reviews: Conduct information systems audits covering IT infrastructure and advise on best practices for data protection. Desired Qualifications Educational Background: Degree in IT, Computer Science, or related fields. Certifications: PCI-DSS, ISO 27001, ISO 31000, ISO 22301, CISA, ITIL, or equivalent certifications preferred. Other Certifications: CISSP, CEH, GSEC, GCIH, LPT, CCSK, etc. are a plus. Location and Work Style Base Location: Bengaluru Travel: This role involves occasional or frequent travel to client locations. Hybrid Work: Deloitte s default work style is hybrid, tailored to the needs of each domain. Key Expectations for the AM Role As an Assistant Manager at Deloitte, you ll be expected to embrace and live our purpose. You should challenge yourself to identify key issues that matter to clients, your team, and society. Specifically, we expect our AMs to: Inspire and Lead: Lead with integrity, inclusivity, and motivation. Create Purpose: Help shape a vision and purpose that drives positive change. Be Agile: Deliver high-quality results through collaboration and teamwork. Build Diverse Capabilities: Develop and support future capabilities within the team. Influence & Persuade: Ability to influence stakeholders and drive decisions. Collaborate for Solutions: Work together to create new solutions for clients. Drive Value: Leverage business acumen to deliver client value. Expand Business: Spot and leverage new business opportunities. Analytical Thinking: Use data and analytics to inform decisions and recommend impactful solutions. Communication: Effectively communicate and structure ideas for win-win outcomes. Engagement Management: Manage engagements to ensure timely execution and quality results. Adapt to Change: Respond resiliently to changing environments and needs. Manage Quality & Risk: Ensure high-quality results while mitigating risks. Strategic Problem Solving: Apply strategic thinking to solve complex business challenges. Tech Savvy: Use ethical technology practices to create high-impact solutions. Empathy & Inclusion: Foster a safe, inclusive environment where everyone is valued. Growth at Deloitte Connect for Impact: Work alongside exceptional professionals solving complex global issues and making a positive impact on the community, society, and the planet. Empower to Lead: Regardless of your career level, you ll have opportunities to inspire, support, and grow both professionally and personally. Inclusion for All: We value diversity and inclusivity in everything we do. At Deloitte, we are committed to creating a culture where everyone feels respected, valued, and empowered. Drive Your Career: You have the autonomy to shape your career path. With global mobility, cross-business opportunities, and continuous upskilling, you can chart a fulfilling career journey. A Culture of Wellbeing At Deloitte, we prioritize your 360-degree wellbeing. Our workspaces and initiatives cater to your unique needs, including flexibility, accessibility, safety, and support for caregiving. Join us for a workplace where you can thrive. Your Next Step: Unleash Your Potential at Deloitte! Qualification : Degree in IT, Computer Science, or related fields.

Job Description You are a strategic thinker passionate about driving solutions in Analytics Solutions. You have found the right team. As an Analytics Solutions Associate in our Finance team, you will spend each day defining, refining and delivering set goals for our firm. You will be responsible for the design, implementation and execution of end-to-end processes supporting U.S. Regulatory Reporting including Consolidated, Capital, Standalone and CCAR/DFAST reporting, regulatory reporting training and exam management. Additionally, FRRA drives broader strategic initiatives across external reporting including accountability, error and issue management, manual adjustments, variance analysis, quality assurance and the target U.S. Regulatory Reporting platform. The FRRA Innovation team sits within FRRA and is responsible for leading the development and implementation of Business Intelligence, Data Analytics and Intelligent automation solutions, identifying and delivering process automation and technology innovation, supporting the reporting production close, and helping to define and design multi-year business infrastructure strategy. Job Responsibilities Implement process automation solutions across the business using Business Intelligence tools. Drive process discovery through partnerships with key stakeholders in the business. Follow established project lifecycle from end to end to deliver timely, efficient, and fit-for-purpose solutions. Engage partners such as FRRA process owners, Center of Excellence teams, and Control partners through established forums. Assist with various aspects of project management including development of project plans, task management, design, testing scenarios and analysis, implementation, and procedural / operating model documentation. Collaborate with system / data owners and business project teams to improve overall data quality and implement tactical solutions to automate repetitive, manual data clean-up and aggregation work. Develop expertise in existing and future strategic data source systems to streamline and improve information content, transparency, and delivery. Communicate summary of analysis and findings thoroughly and succinctly (summary of facts, data sources, analyses performed, conclusions, and recommendations) to various stakeholders, including executive leadership and participate/lead Innovation forums. Stay up-to-date with industry trends and best practices in process automation, analytics, and innovation. Required Qualifications, Capabilities, and Skills Minimum 3 years experience in design and delivery of analytics, reporting and process automation solutions. Advanced data transformation skills using Alteryx and/or Python. Experience with data visualization tools (e.g., Tableau, Power BI) and analytics platforms. Strong project management skills with the ability to manage multiple projects simultaneously. Good analytical and presentation skills. Willingness to learn and adopt new cutting edge technologies, toolsets and techniques. Excellent communication and interpersonal skills, with the ability to collaborate effectively with diverse teams. Preferred Qualifications, Capabilities, and Skills Bachelor's degree in Computer Science, Information Technology, Business Administration, or a related field. Finance experience a plus. Certifications in process automation or data analytics. Knowledge of SQL and/or RPA tools like UIPath. Experience with process review, discovery and reengineering. Understanding of workflow automation tools such as Pega or ServiceNow. Experience in a similar role within a fast-paced, innovative environment. About Us JPMorgan Chase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. Qualification : Bachelor's degree in Computer Science, Information Technology, Business Administration, or a related field. Finance experience a plus.

Job Description: Primary Market Research Senior Consultant Join a global organization with 82000+ employees around the world, as a Primary Market Research Senior Consultant based in Bangalore/ Gurugram/ Pune which helps life sciences companies to accelerate innovation to make greater impact on human health. Our transformative technologies harness intelligence, integrate industry-leading data and analytics. About the team The role is within the Research & Intelligence Team (R&I), whose aim is to deliver market research solutions, comprising mainly of PMR (Primary Market Research) along with inputs from SDR (Secondary Desk Research) to generate relevant insights for clients. Our team: Effectively combines different sources of data and using leading edge PMR techniques and capabilities to generate research, which is actionable, going beyond insight generation to show how to understand and influence prescriber and patient behavior. Role Summary Experience in market research: 7-10 years Manage multiple PMR projects under tight timelines interfacing with global clientele and prioritize requests based on the criticality and business need as agreed with the stakeholders. Responsibilities: Manage multiple PMR (qual and quant) projects under tight timelines interfacing with global clientele and prioritize requests based on the criticality and business need as agreed with the stakeholders. Write questionnaires and discussion guides for diverse stakeholders like physicians, patients, caregivers, payers etc. Create custom market research solutions for clients by thinking through their business issue, and adding the right context to the request (therapy area, methodology etc.). Deliver in depth, comprehensive, regular PMR reports and support ad hoc queries in the areas of indication-based pipeline landscapes, competitor company/ asset profile, competitor launch timelines and key event timelines, newsletters etc. Analyze secondary data sources and reports to provide information on overall market landscapes, market sizing and a range of ad hoc business questions. These analyses may include reporting of the competitive and scientific landscape both in terms of the current position and the predicted future state. Responsible for continuous process improvement in developing content for various PMR deliverables across indications/therapy areas. Demonstrate excellence as an individual contributor with minimal support from peers/team lead, together with the ability to mentor a team of analysts/ACs, driving high productivity/ efficiency, and creating appropriate performance reviews and capability development plan. Quality control and overview and to ensure deliverables are client ready. Project types: Market assessment and sizing, pipeline assessments, patient/consumer journey, brand tracking, go-to-market strategy. What we re looking for: Relevant experience of 7-10 years with master s degree (M.Pharm/MSc in Pharmacy, Biotechnology, life sciences). Exceptional communication skills both at the written and oral level. Excellent knowledge of English and of the main Microsoft Office tools (Word, Excel, PowerPoint). High skills of interpretation and analysis (quantitative, qualitative and integration of different sources of data assets) - This would include thinking through the client business issue, adding the right context to the request (therapy area, business issue etc.) and developing a tailored, innovative solution to address the clients business objectives. The preferred candidate will be creative, client/objective focused, open minded, autonomous and at the same time have great team spirit. Should be aware of free to use online resources like WHO, USFDA, CDC, CMS, PubMed, UNSD, Eurostats, NORD, FDA warning letters, etc.

About Adobe: At Adobe, we re dedicated to changing the world through digital experiences. We empower everyone from emerging artists to global brands with the tools they need to design and deliver exceptional digital experiences. We are passionate about enabling people to create beautiful, powerful images, videos, and apps, while transforming how companies engage with their customers across every screen. Our mission is to hire the best talent and foster an environment where everyone is respected and has access to equal opportunities. We believe that new ideas can come from anyone within the organization, and the next big idea could be yours! Role Overview: As part of the APAC Marketing team, you will play a senior role in driving the India DME Digital Marketing Strategy for Adobe s Creative Cloud and Document Cloud. With your expertise in B2C digital marketing, you ll lead the development, execution, and optimization of strategies that will help achieve business goals for these key products in the Indian market. You will be a data-driven marketer with a deep understanding of the India market, able to craft breakthrough marketing campaigns that inspire, drive product adoption, and build long-term customer value. As a customer-focused leader, you ll thrive in a fast-paced, matrixed organization and work closely with cross-functional teams to execute your vision. What You ll Do: Drive India Marketing Strategies: Develop and implement strategies that drive awareness, engagement, and conversion for Adobe Creative Cloud and Acrobat portfolios in the Indian market. Lead Full-Funnel Marketing Programs: Collaborate with cross-functional teams including Media, PR & Social, Lifecycle Marketing, and Adobe.com to deliver integrated marketing campaigns aligned with business goals. Champion Innovation and Creativity: Leverage audience insights and marketing analytics to continuously innovate and refine campaigns that achieve business targets and key performance indicators (KPIs). Cross-Functional Collaboration: Work closely with Product Marketing and Go-to-Market teams to ensure alignment on annual strategies and business goals. Project Management: Lead campaign launches, manage creative agencies, and coordinate with teams across the business to communicate timelines and deliverables effectively. Forecasting and Budget Management: Plan and manage the budget for marketing programs, ensuring performance is tracked and aligned with defined metrics. Business and Marketing Reviews: Play a key role in quarterly reviews, presenting the marketing narrative for India and influencing the Executive team on strategic adjustments and trade-offs. Data-Driven Insights: Use data analytics and market insights to identify opportunities for growth and optimization, continually improving the customer journey. What We re Looking For: Proven Success: A track record of delivering significant business growth through successful marketing programs. Experience: 10+ years of B2C digital marketing experience, particularly within software or technology brands, and a deep understanding of the Indian market. Analytical Skills: Strong ability to make data-driven decisions and optimize marketing strategies based on key insights. Clear Communication: Excellent communication skills with the ability to convey ideas clearly and effectively to diverse stakeholders. Strategic Thinking: Strong critical thinking abilities, with experience translating market insights into actionable strategies focused on achieving business outcomes. Campaign Management: Expertise in running full-funnel campaigns that include digital, social media, influencer marketing, and localizing global campaigns for the Indian market. Agency Collaboration: Experience working with agencies to create compelling messaging and solutions that resonate with audiences. Customer-Focused: A deep understanding of customer needs and motivations to build exceptional marketing experiences and customer journeys. Creativity & Commercial Acumen: The ability to balance creativity with a strong commercial understanding. Project Management Skills: Excellent ability to manage multiple projects in a fast-paced environment with a keen attention to detail. Influence in a Matrix Organization: Ability to navigate and influence within a matrix organization and at all levels of the company. Education: Relevant bachelor s degree required. Product Knowledge: Familiarity with Adobe products is highly desirable. Language Skills: Proficiency in spoken and written English is required; additional languages spoken in India are a plus. At Adobe, you ll be part of an exceptional team and workplace that is recognized globally for its positive environment and culture. We are committed to fostering an atmosphere where everyone has the opportunity to grow and contribute. With our unique Check-In approach to feedback, we support each other s development and success. Adobe is an Equal Employment Opportunity and Affirmative Action Employer. We do not discriminate based on gender, race, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other characteristics protected by law.

Intuit is a global leader in financial technology, dedicated to helping individuals and businesses thrive. Our suite of products, including TurboTax, Credit Karma, QuickBooks, and Mailchimp, serves approximately 100 million customers worldwide. At Intuit, we believe in providing everyone with the tools and resources they need to achieve financial success. We are constantly innovating to make financial empowerment a reality for all. Job Overview Join the Intuit Data Platform (IDP) team as a Staff Engineer and help us transform the way we handle big data! The IDP team is responsible for the Intuit Analytics Platform, which powers real-time data ingestion, cataloging, analytics, and machine learning across the entire organization. As Intuit s customer base grows, so does the volume of data we process. Our engineering excellence ensures that we can scale and leverage this data to drive machine learning and product innovations. We re in the process of building the next-generation real-time and batch ingestion engine, capable of indexing, cataloging, and organizing data and metadata. We are passionate about using open-source technologies to solve challenges and contributing back to the community. If you're excited about building a platform that will directly impact data scientists and analysts and have a desire to shape the future of data at Intuit, then come join us! Key Responsibilities Architect & Design: Build fault-tolerant and scalable big-data platforms using open-source technologies to handle massive datasets. Data Solutions: Create architecture solutions that address complex use cases like data normalization, lineage, governance, ontology, and discoverability. Cross-Team Collaboration: Work with analysts and data scientists to understand data requirements for building operational propensity models and gaining deep customer insights. Hands-On Coding: Lead development efforts within the Hadoop ecosystem using technologies such as Java MapReduce, Spark, Scala, HBase, and Hive to build and optimize data pipelines for both real-time and batch applications. Database Management: Work with NoSQL, SQL, and in-memory databases to design high-performance data systems. Code Reviews: Ensure code quality, consistency, and adherence to best practices through regular code reviews. Architectural Alignment: Ensure alignment between enterprise architecture and business requirements. Prove Feasibility: Conduct proof-of-concept (POC) experiments for new technologies or approaches and drive them to production. Collaboration with Data Cataloging Team: Work closely with data catalog teams and architects to index and catalog all data sources at Intuit. Agile Leadership: Lead fast-paced development teams using agile methodologies and promote best practices in software development, testing, and incident response. Design & Model: Build dimension models suited for customer business use cases and ensure seamless integration of business and technical requirements. Qualifications Experience: 12+ years of relevant experience, with at least 5+ years specializing in the big data domain. Big Data Architecture: Proven experience in architecting end-to-end ecosystems for big data and analytics platforms. Expert Knowledge: Deep expertise in building fault-tolerant, scalable big data solutions, especially using the Hadoop ecosystem (Hive, HBase, Spark, Kafka, MapReduce, etc.). Programming Expertise: Mastery of Java and Scala, with a focus on building high-throughput data services. Machine Learning: Knowledge of machine learning principles and AI applications in big data. Big-Data Technologies: Familiarity with tools such as HDFS, Storm, Zookeeper, Cassandra, Redshift, GraphDB, and others. Understanding both real-time and batch processing in the Hadoop ecosystem. Communication: Strong communication skills, with an ability to explain complex technical topics to both technical and non-technical audiences. Programming Skills: Intermediate experience in Python or R for data processing. Education: BE/BTech/MS in Computer Science or a related field (or equivalent experience). Collaboration: Demonstrated ability to work cross-functionally and lead change through influence and example. At Intuit, you ll be part of a talented, passionate team working on innovative solutions that shape the future of data analytics and machine learning. As a Staff Engineer, you ll have the chance to work with cutting-edge technologies, build scalable systems, and help revolutionize how Intuit leverages data to drive product innovation. If you're looking for a dynamic environment where you can have a meaningful impact, come join us at Intuit! Qualification : BE/BTech/MS in Computer Science (or equivalent)

Job Title: Global FP&A and Sustainability Analyst Location: Bangalore (with hybrid work model) Reporting to: Financial Planning & Analysis Manager (solid line) and Global FP&A team (dotted line) Work Model: Hybrid / Onsite (#LI-Hybrid, #LI-Onsite) About ABB At ABB, we are committed to addressing global challenges through innovation, collaboration, and sustainability. Our core values Care, Courage, Curiosity, and Collaboration along with our focus on diversity, inclusion, and equal opportunities, drive us to empower our employees and create impactful solutions for a better future. Role Overview We are looking for a proactive and analytical FP&A and Sustainability Analyst to join our Center of Excellence (CoE) team in India. In this role, you will act as a critical link between Finance and Sustainability functions, supporting the Global Business Area of Motion. You will be responsible for evaluating financial and sustainability KPIs, building and maintaining analytics dashboards, and acting as a business partner to Global Divisions and other functions. This is an exciting opportunity for a finance professional with a sustainability mindset to contribute directly to global initiatives, driving meaningful insights and improvements across the Motion business. Key Responsibilities Conduct financial analysis and validate data accuracy to support the financial reporting, planning, budgeting, and forecasting processes. Support business analytics processes by developing Power BI dashboards and other data visualization tools for internal stakeholders. Assist in ESG reporting for the Motion business area prepare reporting templates, aggregate data, and conduct data analysis to track sustainability performance. Collaborate closely with finance and sustainability teams across divisions, regions, and countries to drive alignment and ensure data accuracy. Actively participate in global initiatives and Finance/Sustainability projects, contributing insights and solutions from a local and global perspective. Provide additional finance and sustainability support during peak reporting periods, year-end, and special projects as needed. Qualifications & Experience Education: Chartered Finance Qualification (CMA, CA, ACCA, or MBA in Finance). Full-time Finance Graduate background. Experience: Minimum 2+ years of professional experience in FP&A, finance analytics, or sustainability reporting. Strong interest in Sustainability and ESG reporting (additional certification or education in Sustainability topics would be advantageous). Technical Skills: Proficiency in Microsoft Office 365, especially Excel. Hands-on experience with Power BI (dashboard creation, data modeling, visualization). Understanding of end-to-end processes, systems, and data flows in Abacus Analyzer and ATLAS is preferred. Interpersonal Skills: Excellent communication and collaboration abilities. Strong team player with the ability to work independently towards defined goals. Exceptional attention to detail and strong organizational and multitasking capabilities. About ABB Finance ABB Finance is a trusted business partner, delivering forward-looking insights and sustainable long-term results, all while maintaining the highest standards of integrity and transparency. Our global Finance team plays a crucial role in enabling innovation and supporting ABB s transformation toward a more sustainable and efficient future. Work at the intersection of Finance, Sustainability, and Data Analytics. Be part of a global team driving sustainable transformation in a leading technology company. Collaborate across divisions and geographies, expanding your global network. Enhance your technical and analytical skills with exposure to cutting-edge tools and processes. Experience a culture that values diversity, innovation, and continuous learning. Qualification : Chartered Finance Qualification (CMA, CA, ACCA, or MBA in Finance).

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.

About Databricks At Databricks, we are passionate about enabling data teams to solve the world s toughest challenges from creating the next mode of transportation to accelerating the development of medical breakthroughs. We build and run the world s best data and AI infrastructure platform, empowering our customers to use deep data insights to transform their businesses. Databricks Mosaic AI offers a data-centric approach to building enterprise-quality Machine Learning (ML) and Generative AI solutions, enabling organizations to securely and cost-effectively own and host ML and Generative AI models, trained and augmented with their enterprise data. We re only getting started in Bengaluru, India, where we are currently setting up 10 new engineering teams from scratch! The Opportunity Senior Software Engineer As a Senior Software Engineer at Databricks India, you ll have the opportunity to work on a variety of challenging projects across multiple domains: Backend Engineering Distributed Data Systems (DDS) Full-Stack Development The Impact You ll Have 1. Backend Engineering Join our Backend teams and tackle challenges that range from product to infrastructure: Solve complex problems in distributed systems, large-scale service architecture, monitoring, workflow orchestration, and developer experience. Build reliable, high-performance services and client libraries for managing massive amounts of data on cloud storage backends like AWS S3 and Azure Blob Store. Work on scalable services (e.g., Scala, Kubernetes) and data pipelines (e.g., Apache Spark, Databricks) that support our pricing infrastructure, processing millions of cluster-hours per day. 2. Distributed Data Systems (DDS) Work across a range of exciting DDS projects: Apache Spark Data Plane Storage Delta Lake Delta Pipelines Performance Engineering 3. Full-Stack Engineering As a Full-Stack Software Engineer, collaborate closely with your team and product managers to create intuitive user experiences that delight our customers. What We Look For BS or higher in Computer Science or a related field. 7+ years of production-level experience in one or more of the following languages: Python, Java, Scala, C++, or similar. Proven experience developing large-scale distributed systems from scratch. Experience working on a SaaS platform or with Service-Oriented Architectures (SOA). About Databricks Databricks is the data and AI company trusted by over 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. Headquartered in San Francisco, Databricks was founded by the original creators of Apache Spark, Delta Lake, MLflow, and the Lakehouse architecture, with offices around the globe. Qualification : BS (or higher) in Computer Science, or a related field.