Data Engineer Product Analytics India Jobs in Bengaluru

Analytics Engineer Location: Bengaluru Work Type: Full-Time About Postman Postman is the world s leading API platform, used by over 40 million developers and 500,000 organizations, including 98% of the Fortune 500. Our mission is to build an API-first world, simplifying every step of the API lifecycle and enabling teams to create better APIs, faster. Founded in Bengaluru, Postman is headquartered in San Francisco, with offices in Boston, New York, and Bengaluru. We are privately held, backed by Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. The Opportunity We are seeking an Analytics Engineer to join our Data Team and help strengthen the foundation of our modern data stack. In this role, you will own critical transformation pipelines, design scalable data models, and ensure that our analytics environment is performant, reliable, and future-ready. You will operate with a high degree of independence, driving projects from design through production, while implementing best practices in dbt, semantic layers, medallion architecture, and lakehouse paradigms. Key Responsibilities Take ownership of large portions of our dbt project (3k+ models), ensuring scalability, maintainability, and adherence to best practices. Design and implement robust data models, including dimensional modeling, incremental strategies, and Slowly Changing Dimensions (SCDs). Establish and enforce dbt test coverage, automated quality checks, and CI/CD pipeline standards using GitHub Actions. Profile and optimize SQL queries and warehouse performance for efficiency and cost reduction. Build and refine our semantic layer, ensuring consistent business logic across Looker, Redash, and downstream tools. Collaborate with analysts and business partners to define metrics and deliver self-serve data assets. Document models, lineage, and transformation logic to make data discoverable and usable across the company. Contribute to shaping team standards and playbooks, collaborating with analysts on modeling and transformation best practices. Stay ahead of modern data stack innovations, including dbt metrics layer, universal semantic layers, data contracts, and observability. Enabling Self-Serve Analytics & AI Build transformations that empower business stakeholders and analysts to explore data confidently. Ensure metric definitions are consistent, discoverable, and reusable across BI tools. Prepare clean, structured, and accessible datasets for AI-driven initiatives like conversational analytics and anomaly detection. Partner with Data Science & ML teams to provide reliable pipelines that accelerate experimentation and AI/ML deployment. About You 3 5 years of experience in analytics engineering roles. Advanced SQL skills (query optimization, performance tuning). Strong proficiency in dbt Core: models, macros, snapshots, sources, and custom materializations. Solid background in data modeling techniques (Kimball, SCD handling, incremental pipelines). Practical experience with semantic layers and BI integration (LookML, dbt metrics, or equivalent). Familiarity with Medallion architecture and modern lakehouse approaches. Hands-on experience with Redshift; exposure to Databricks is a plus. Proficiency with GitHub and CI/CD pipelines for analytics code. Strong fundamentals in data quality, governance, and lineage tracking. Flexible schedule with a hybrid work model. Full medical coverage, flexible PTO, wellness reimbursement, and monthly lunch stipend. Access to wellness programs, team-building events, and donation-matching initiatives. An inclusive, collaborative culture where everyone can thrive and grow. Our Values Curiosity: Explore and innovate fearlessly. Transparency: Communicate openly about successes and failures. Focus: Set clear goals aligned with a bold vision. Inclusion: Every voice matters. Excellence: Deliver the best products and experiences together.

Data Engineering Lead Bengaluru | Engineering | Full-Time About Fam (formerly FamPay) Fam is India s first payments app designed for everyone aged 11 and above. FamApp enables seamless online and offline payments through UPI and FamCard. Our mission is to empower over **250 million young Indians** to start their financial journey early, becoming financially aware and confident. Founded in 2019 by IIT Roorkee alumni, Fam is backed by top-tier investors including Elevation Capital, Y-Combinator, Peak XV (Sequoia Capital India), Venture Highway, and angels like Kunal Shah and Amrish Rao. About the Role We re looking for a visionary **Data Engineering Lead** to take **end-to-end ownership** of Fam s data ecosystem from data ingestion and storage to processing and delivering actionable insights. You ll **define the data strategy and architecture** that supports both batch and **real-time** use cases, ensuring scalability, reliability, and governance across the organization. You will be instrumental in enabling accurate, complete, and trusted data flow that powers business intelligence, analytics, and product decision-making. This role involves **leadership, strategic thinking**, and hands-on problem solving. What You ll Do Own the full data lifecycle: ingestion, organization, storage, processing, and presentation. Define and execute **data architecture and strategy** aligned with operational and analytical goals. Build **scalable, reliable, and observable data systems** supporting batch and near real-time processing. Ensure **data quality, governance, and compliance**, proactively resolving discrepancies. Collaborate with product, engineering, and business teams to define, track, and optimize key metrics. Anticipate data-related challenges and implement preventive solutions. Lead, mentor, and grow the data engineering team, fostering innovation and accountability. Must-Haves 10+ years experience in data engineering, including proven leadership of teams or projects. Expertise designing, building, and scaling end-to-end data pipelines and systems. Deep understanding of the data lifecycle, from ingestion through business reporting. Strong communication skills and ability to collaborate across technical and business teams. Solid knowledge of **data governance, quality assurance, and compliance standards**. Experience with observability and proactive monitoring for data systems. Proficiency in Python and SQL; familiarity with Scala or Java. Hands-on experience with streaming and batch data frameworks. Experience designing large-scale data lakes and warehouses with best practices for schema evolution and partitioning. Strong background with **cloud platforms (AWS, GCP, or Azure)**. Fintech or regulated industry experience is a plus. Good to Have Fintech-specific data experience, including regulatory compliance and reporting. Deployment experience with **real-time analytics** and event-driven architectures. Familiarity with containerization and infrastructure tools like Docker, Kubernetes, Terraform. Knowledge of data observability tools (Monte Carlo, Databand, etc.). Exposure to **ML pipelines** and model deployment. Solve challenging problems at the intersection of big data, real-time processing, and fintech. Lead impactful data initiatives at a rapidly growing startup. Collaborate with a world-class team of engineers, data scientists, and product leaders. Competitive compensation, equity, and benefits. Clear career growth opportunities in leadership and innovation. Perks That Go Beyond the Paycheck Relocation assistance for a smooth move. Free office meals (lunch & dinner). Generous leave policies (birthday, period, parental support, and more). Salary advances and loan policies for financial support. Quarterly rewards, recognition, and referral incentives. Access to the latest gadgets and tools. Comprehensive health insurance with mental health support. Tax benefits like food coupons, phone allowances, and leasing options. Retirement benefits including PF contribution, leave encashment, and gratuity. About FamApp FamApp focuses on financial inclusion for the next generation by offering UPI and card payments to users aged 11+. Our flagship product, FamX, integrates UPI and card payments seamlessly, helping users manage, save, and learn about their finances effortlessly. With over **10 million users**, FamApp is revolutionizing how young Indians transact eliminating the need to carry cash and offering customizable FamX cards with personal doodles for a fun, unique payment experience. Join Our Dynamic Team At Fam, we foster a people-first culture with flexible work schedules, generous leave, comprehensive health benefits, and mental health support. You ll be part of a passionate, talented, and fun team shaping the future of fintech for India s youth.

Data Engineer Location: Bangalore Company: Capital One India About Capital One At Capital One, we're redefining how technology solves real-world financial challenges. As a technology-driven company, we bring together talented engineers, data scientists, and designers to innovate at scale and deliver meaningful impact to millions of customers. If you're passionate about building powerful data solutions, exploring cutting-edge technologies, and working in a collaborative, fast-paced environment this is the place for you. About the Role As a Data Engineer at Capital One, you ll join a team of innovators who design and build next-generation data platforms and pipelines that power real-time decision-making. You ll collaborate across disciplines engineering, product, machine learning, and cloud infrastructure to transform how we leverage data at scale. What You ll Do Collaborate across Agile teams to design, develop, test, and deploy data-driven solutions. Build and support scalable data pipelines using modern data engineering tools and cloud services. Work on real-time and batch data processing systems that integrate with distributed microservices and ML platforms. Use programming languages such as Python, Java, or Scala with SQL, NoSQL, and cloud data warehouses like Redshift or Snowflake. Contribute to code reviews, unit testing, and performance optimization to ensure high-quality data systems. Partner with product managers and platform teams to deliver robust, cloud-native data solutions that power business decisions. Stay ahead of tech trends, share knowledge, and mentor junior engineers. Basic Qualifications Bachelor s degree in Computer Science, Engineering, or a related field. 1.5+ years of hands-on experience in application or data engineering (excluding internships). At least 1 year of experience working with big data technologies. Preferred Qualifications 3+ years of application/data engineering experience using Python, Scala, Java, or SQL. 1+ year of experience with cloud platforms (AWS, Azure, or GCP). 2+ years of experience with distributed computing tools (Spark, Hadoop, Hive, EMR, Kafka, etc.). 1+ year working on real-time streaming applications. 1+ year of experience with NoSQL databases (MongoDB, Cassandra). 1+ year of experience with data warehousing (Redshift, Snowflake). 2+ years working with Linux/Unix systems and shell scripting. Familiarity with Agile methodologies and modern DevOps practices. Why Join Capital One Work on high-impact data solutions at one of the world s most innovative financial institutions. Be part of a collaborative tech culture that values experimentation and learning. Access to top-tier tools, mentorship, and career development opportunities. Competitive compensation and benefits in a mission-driven environment. Qualification : Bachelors degree in Computer Science, Engineering, or a related field

Lead Fullstack Engineer Location: Bangalore Company: Capital One India About Capital One India At Capital One India, we thrive in a fast-paced, intellectually rigorous environment where we solve real-world business problems at scale. By combining advanced analytics, data science, and machine learning, we unlock powerful insights and build cutting-edge, patentable technology products that drive innovation and impact. Team Overview: Machine Learning Experiences (MLX) The MLX team is at the core of Capital One s AI/ML transformation. We re shaping the way the enterprise builds, deploys, and monitors ML models and features providing the tools and platforms that enable every business line to deliver AI-powered experiences. From platform onboarding to observability, MLX sets the foundation for responsible, scalable machine learning across Capital One. Role Overview We are seeking a Lead Fullstack Engineer to architect and develop scalable, cloud-native applications that power our ML platforms. You ll be responsible for leading technical initiatives, mentoring team members, and driving the development of full-stack systems with a primary focus on Python and Go, and a working proficiency in React. This is a hands-on leadership role requiring deep cloud expertise (AWS), backend scalability know-how, and familiarity with ML observability concepts. What You ll Do Lead cross-functional teams on full-stack development projects that support machine learning platforms and observability tools. Design and develop robust applications using Python, Go, and React, adhering to scalable and maintainable coding principles. Architect cloud-native solutions on AWS, leveraging services such as Lambda, ECS, S3, DynamoDB, SQS, and IAM. Implement and optimize CI/CD pipelines, containerization with Docker/Kubernetes, and other DevOps best practices. Work closely with ML engineers and data scientists to enhance observability and monitoring for ML models in production. Utilize open-source frameworks to accelerate development and maintain system performance. Collaborate with product managers to deliver user-centric, cloud-based solutions that drive real customer impact. Conduct code reviews, mentor engineers, and maintain high technical standards across the team. Contribute to backend optimization, API development, and integration with real-time data systems. Required Qualifications 7 10 years of experience in software development, with a strong background in backend and full-stack systems. Expertise in Python and Go; strong ability to build scalable, maintainable systems. Proficiency in React for frontend development (medium level). Hands-on experience with AWS services such as Lambda, ECS, S3, DynamoDB, IAM, and SQS. Experience with ML observability frameworks and tools. Knowledge of open-source development frameworks and cloud architecture patterns. Proficiency in CI/CD, containerization (Docker, Kubernetes), and modern DevOps practices. Strong problem-solving abilities and a track record of leading technical initiatives in agile environments. Preferred Qualifications Experience monitoring ML models in production and integrating observability tools. Knowledge of event-driven architecture and microservices. Familiarity with GraphQL, WebSockets, and real-time data communication. Understanding of data streaming architectures and processing pipelines. Why Join Capital One Be part of a team building enterprise-scale platforms that power ML for millions of customers. Work on impactful, cloud-native solutions in a collaborative and high-growth environment. Collaborate with world-class engineers, data scientists, and product leaders. Enjoy a culture that values experimentation, learning, and technical excellence.

Principal Associate Full Stack Engineering (GenAI Observability) Location: Bangalore Company: Capital One India About Us At Capital One India, we re tackling some of the most complex problems in financial services using machine learning, advanced analytics, and cloud-first engineering. Our mission is to build cutting-edge, patentable solutions that transform customer experiences, enhance operational efficiency, and ensure robust risk and compliance standards. We re a team of makers, breakers, doers, and disruptors obsessed with turning data into real-world impact at scale. About the Team Machine Learning Experiences (MLX) The MLX team is pioneering the future of model governance, ML observability, and Generative AI infrastructure at Capital One. We re enabling teams to seamlessly deploy ML and GenAI models at scale, with full visibility into performance, health, compliance, and ethical usage. This is the platform powering the next generation of AI-driven financial products across the company. About the Role We re looking for a Principal Associate Full Stack Engineer to lead the development of observability platforms for Generative AI systems. You ll be part of a cross-functional team focused on governance automation, LLM monitoring, and intelligent diagnostics using telemetry data, metadata, and advanced analytics. You ll design systems to collect, analyze, and visualize performance data from our large-scale GenAI infrastructure, helping data scientists and engineers make faster, safer decisions. What You ll Do Lead architecture and development of observability tools and dashboards for monitoring GenAI models and platform health. Design and build core APIs and SDKs to instrument large language models (LLMs) and foundational models (training, fine-tuning, prompting stages). Integrate Generative AI to enable observability features like anomaly detection, predictive analytics, and copilot-assisted troubleshooting. Partner with platform, MLOps, and governance teams to ingest and analyze telemetry, metadata, and runtime metrics at scale. Drive development of tools to ensure compliance with AI ethics, data governance, and industry regulations. Collaborate with product, design, and research to turn complex requirements into scalable, cloud-native software solutions. Lead proof-of-concept initiatives to test and showcase how GenAI can improve platform observability and decision-making. Contribute to the open-source community and stay at the forefront of GenAI and ML infrastructure evolution. Basic Qualifications Bachelor s or Master s degree in Computer Science, Engineering, or related field 4+ years of experience building distributed, data-intensive systems using microservices architecture 4+ years of experience in backend development with Python, Go, or Java 4+ years of expertise with observability stacks (Prometheus, Grafana, ELK) and adapting them for AI systems Strong knowledge of OpenTelemetry, and experience building custom SDKs and APIs 5+ years of hands-on experience with Generative AI models, especially applied to observability, governance, or compliance 2+ years of experience with cloud platforms such as AWS, Azure, or GCP Preferred Qualifications 4+ years building and optimizing ML systems in production environments 3+ years of experience with MLOps tools like MLflow, Kubeflow, or commercial platforms Experience with GenAI frameworks and libraries like LangChain, Haystack, and vector databases (FAISS, Chroma, OpenSearch) Familiarity with emerging observability tools for LLMs such as Langfuse, Phoenix, Helicone, or OpenInference Contributor to open-source GenAI or ML infrastructure projects Author or co-author of published work in AI/ML observability, governance, or performance monitoring Experience with PyTorch, TensorFlow, Spark, or Dask Knowledge of NVIDIA GPU telemetry, CUDA programming, and performance optimization for AI workloads Understanding of AI ethics, data governance, and regulatory frameworks for machine learning systems Why Join Capital One India Work at the intersection of technology, AI, and compliance helping shape the future of responsible AI Join a team driving enterprise-wide adoption of Generative AI Collaborate with world-class engineers, data scientists, and product leaders Enjoy a high-performance culture that encourages innovation, learning, and mentorship Access to cutting-edge tools, open-source contributions, and cloud-native infrastructure Qualification : Bachelors or Masters degree in Computer Science, Engineering, or related field

Position: Business Technology Data Engineer Location: Bengaluru, India (Hybrid 3 days onsite) Company: Samsara Technologies India Pvt. Ltd. About Samsara Samsara (NYSE: IOT) is a leader in the Connected Operations Cloud, enabling businesses across industries like transportation, logistics, manufacturing, and field services to harness IoT data for safety, efficiency, and sustainability improvements. Samsara helps organizations digitize physical operations at scale, improving outcomes that impact global infrastructure. Role Overview Samsara is seeking a Business Technology Data Engineer to join its Data & Analytics team within the Business Technology division. In this role, you will design, build, and optimize end-to-end data pipelines and infrastructure for various business-critical systems across CRM, marketing, support, and product platforms. You'll collaborate with teams across the company to build reliable and scalable data solutions that power reporting, automation, and analytics. This hybrid role requires working 3 days per week from the Bengaluru office and 2 days remotely, with working hours aligned to India Standard Time (IST). Key Responsibilities Data Engineering & Platform Development Design and maintain ETL/ELT pipelines that integrate and transform data across business systems. Build scalable data infrastructure to support advanced analytics and real-time reporting needs. Write Python and SQL scripts for data ingestion, transformation, and validation. Data Integration & Enablement Work with diverse data sources: CRM, product telemetry, marketing automation, support ticketing, and order flow systems. Develop and support data lake and data warehouse solutions using Snowflake, Redshift, Databricks, or BigQuery. Ensure interoperability between applications and data layers. Performance & Quality Monitor and optimize pipeline performance, implement observability and alerting. Improve data quality, lineage, and governance across systems. Partner with internal stakeholders (e.g., Sales Ops, Marketing Ops, Analytics) to deliver reliable data products. Minimum Qualifications Bachelor s degree in Computer Science, Data Engineering, or related field. 5+ years of professional experience in data engineering. 3+ years experience building and maintaining end-to-end pipelines in a modern data stack. Strong in SQL and Python. Hands-on experience with: ETL tools: Fivetran, dbt Cloud: AWS (preferred), GCP, or Azure Databases: MySQL, PostgreSQL, Oracle, or similar Data Warehouses: Snowflake, Redshift, BigQuery, Databricks Preferred Qualifications Familiarity with API-based ingestion, serverless architecture (Lambda, API Gateway, SQS, etc.). Experience with monitoring tools (DataDog, CloudWatch, Splunk). Comfortable engaging stakeholders to translate business needs into data solutions. Proficiency in Docker, Kubernetes, or AWS Fargate is a plus. Qualification : Bachelors degree in Computer Science, Data Engineering, or related field

Job Title: Product Manager Location: Bengaluru, Karnataka, India Department: Product Engineering Experience: 5 8 years About TheMathCompany TheMathCompany (MathCo ) is a global Enterprise AI and analytics firm trusted by Fortune 500 and Global 2000 companies to deliver impactful, data-driven decision-making. We create custom-built AI solutions through a powerful blend of human expertise and our proprietary platform, NucliOS. At MathCo, we empower our people known as Mathemagicians to innovate, take ownership, and drive transformation at scale. About the Role As a Product Manager at MathCo, you will be at the helm of a high-impact portfolio of custom-built, self-service products designed for some of the world s leading enterprises. These products span domains like performance monitoring, analytics enablement, and digital transformation some already delivering 3x 5x ROI within their first year. You'll lead cross-functional teams of engineers, data scientists, designers, and business analysts through the full product lifecycle from 0-to-1 ideation to production rollout. This is a rare opportunity to build highly customized solutions while contributing to the development of our proprietary platform that powers all of MathCo s AI-driven products. If you're someone who thrives at the intersection of business strategy and technology and has a knack for building solutions from the ground up this role is for you. Key Responsibilities Product Development & Lifecycle Ownership Drive the end-to-end product lifecycle from ideation to launch. Lead the development of self-service applications tailored to client needs, ensuring innovation, scalability, and usability. Collaborate closely with engineering, data science, design, and DevOps teams to deliver robust features and solutions. Stakeholder & Project Management Own client relationships and manage stakeholder expectations with clarity and accountability. Define and prioritize product roadmaps, sprint backlogs, and feature releases using Agile methodologies and tools like JIRA. Drive conversations with Fortune 500 clients to align business goals with product strategies. Research & UX Conduct market and user research to validate features and prioritize user-centric design. Partner with design teams to develop high-impact UI/UX prototypes that elevate the product experience. Technical Oversight Guide custom product development, including architecture, design, and deployment on cloud platforms like AWS, Azure, or GCP. Oversee data pipelines, warehousing, and transformation strategies for data-driven applications. Lead discussions on DevOps strategies and CI/CD best practices. Work with QA to ensure quality, testing, and production readiness of the product. Must-Have Skills & Experience 5 8 years of experience building and managing digital products. Proven ability to own the P&L and ROI of tech products, preferably in the enterprise or B2B domain. Hands-on familiarity with: Frontend technologies: HTML, CSS, React (or similar) Backend technologies: Python, REST APIs Cloud services: AWS / Azure / GCP Strong understanding of Agile development methodologies, project tracking (e.g., JIRA), and DevOps processes. Excellent problem-solving and cross-functional leadership skills. Clear and persuasive communication, with the ability to align technical and non-technical teams. Be part of a fast-scaling tech organization working on cutting-edge enterprise AI solutions. Shape the next generation of AI-enabled products with end-to-end ownership and autonomy. Collaborate with a diverse team of innovators, each empowered to leave a mark. Enjoy a culture that s flat, inclusive, and focused on learning and impact. Excited to build transformational products from scratch? Let s talk. Apply now to be a part of MathCo s product innovation journey.

Job Title: Lead Product Engineer Location: Bengaluru, Karnataka, India Department: Product Engineering Experience: 6 10 years About TheMathCompany TheMathCompany (MathCo ) is a global Enterprise AI and analytics firm helping Fortune 500 and Global 2000 organizations drive better decision-making through custom-built AI solutions. With our proprietary platform NucliOS, we power scalable, reusable, and intelligent products that accelerate digital transformation across industries. At MathCo, we empower our engineers to innovate, take ownership, and work on cutting-edge enterprise-grade products from scratch. If you re passionate about full-stack product development and thrive in a dynamic, high-impact environment, we d love to talk to you. About the Role As a Lead Product Engineer, you will be responsible for the architecture, development, and deployment of full-stack applications that are critical to our enterprise clients success. You ll lead a cross-functional team and work closely with product managers, designers, and data scientists to deliver high-performance solutions that scale and transform. This role combines hands-on coding, system architecture, and team leadership, and is ideal for engineers looking to make a direct impact on product direction and execution. Key Responsibilities 1. Full Stack Development Build and maintain RESTful APIs and microservices using languages like Python or Node.js. Design and develop scalable and maintainable UI components using modern front-end frameworks (e.g., React, Vue, Angular). Architect and manage application databases (SQL & NoSQL). Integrate with authentication/authorization protocols (e.g., OAuth2, OIDC, SAML). Participate in the full product lifecycle from ideation and development to deployment and support. 2. Product Development & Collaboration Translate business requirements into technical solutions in collaboration with product managers and designers. Provide technical leadership and guidance to the development team. Optimize systems for performance, scalability, and reliability. 3. Code Quality & Testing Write clean, efficient, well-documented code following best practices and industry standards. Conduct and participate in code reviews. Develop and maintain automated test frameworks; ensure unit, integration, and end-to-end testing coverage. Oversee CI/CD pipelines and manage cloud-based deployments. Must-Have Technical Skills 6 10 years of experience in full-stack development and system design. Proficiency in backend languages like Python, Node.js (bonus: Rust, Go). Strong front-end experience with HTML, CSS, JavaScript, and frameworks like React, Angular, or Vue.js. Expertise in REST APIs, microservices, and database design (ER modeling, data flow, API integration). Hands-on with PostgreSQL, MySQL, MongoDB, or similar. Experience deploying applications on cloud platforms (AWS, Azure, GCP). Familiarity with Docker, Kubernetes, and infrastructure tools like Terraform, CloudWatch. Version control and DevOps experience with GitHub, Azure DevOps, and CI/CD pipelines. Non-Technical & Soft Skills Strong knowledge of Agile methodologies (SCRUM). Excellent problem-solving and debugging capabilities. Strong communication and collaboration skills across teams. Ability to manage multiple projects in a fast-paced environment. Work with some of the best minds in data science, engineering, and AI. Drive high-impact product development used by Fortune 500 companies. Be part of a flat, inclusive, and innovation-driven workplace culture. Access to cutting-edge tools, custom-built platforms, and rapid experimentation. Apply now and help build world-class AI-driven solutions with MathCo.

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

GenAI Engineer Location: Bangalore, India About the Team Rubrik s IT team is at the forefront of AI-powered transformation, focused on building intelligent automation and scalable data solutions to support the company s mission. As part of the newly established IT AI team, you ll help develop AI agents and workflows to unlock the full potential of generative AI in data engineering. About the Role We re seeking a GenAI Engineer to join our Data Engineering team, specializing in the development and deployment of AI agents and workflows powered by large language models (LLMs). You ll be responsible for integrating data sources, developing MCP clients/servers, and collaborating with cross-functional teams to drive GenAI adoption across the organization. Key Responsibilities Design and implement data integrations using MCP protocols or traditional data extraction methods Build scalable data pipelines for GenAI model training and deployment using tools like Snowflake Cortex, Gemini Agentspace, and Databricks LLM (Mosaic AI, RAG, Model Serving) Ensure high standards of data quality, integrity, and scalability for both structured and unstructured AI workloads Collaborate with business, data engineering, and application development teams to create AI-enabled products Integrate pipelines into existing infrastructure for seamless data flow and analytics Support high-quality data products tailored for AI and machine learning workflows Required Experience 1+ years building AI Agents or working with platforms like Snowflake Cortex, Gemini Agentspace, or similar open-source frameworks 3+ years in data engineering with a focus on AI/ML workloads 5+ years in data analytics using Snowflake or Databricks Strong programming skills in Python, Java, or Scala Familiarity with data storage, APIs, and cloud configurations Experience with data governance and scalable system design Solid understanding of LLMs, transformers, and frameworks such as LangChain Strong analytical and problem-solving skills in a dynamic environment Preferred Qualifications Proven experience building AI Agents and agentic workflows Understanding of MCP and Agent2Agent protocols Knowledge of generative model architectures and applications in data engineering Familiarity with data security and governance best practices in GenAI Experience with Agile methodologies and tools such as Jira and GitHub Join Us in Securing the World s Data Rubrik (NYSE: RBRK) is committed to delivering Zero Trust Data Security. Our ML-powered platform protects data across enterprise, cloud, and SaaS applications, helping organizations stay resilient against cyberattacks and disruptions.

GenAI Engineer Location: Bangalore, India Office About the Team Rubrik's IT team is driving AI-powered transformation to enable smarter automation and scalable data solutions that protect and empower the company's mission. As part of the newly formed IT AI team, you'll be instrumental in developing AI agents and workflows to unlock the potential of generative AI in data engineering. About the Role We are seeking an experienced GenAI Engineer to join our Data Engineering team, focusing on building and deploying AI agents and workflows powered by large language models (LLMs). You will integrate data sources and develop MCP clients/servers to support LLM-based bots, collaborating closely with data scientists, engineers, and business teams to enhance GenAI adoption and deliver advanced data solutions. Key Responsibilities Design and develop data integrations using MCP protocols or traditional extraction methods. Build scalable data pipelines for GenAI model training and deployment using tools like Snowflake Cortex, Gemini Agentspace, and Databricks LLM (Mosaic AI, RAG, Model Serving). Ensure data quality, integrity, and scalability for AI workloads involving both structured and unstructured data. Collaborate with business teams, data engineers, and application developers to create products that streamline processes and drive growth. Integrate data pipelines with existing infrastructure to enable seamless data flow and analytics. Support the data engineering team in producing high-quality data products for AI workloads. Experience You'll Need 1+ year of experience building AI agents or using Snowflake Cortex, Gemini Agentspace, or similar open-source tools. 3+ years of experience in data engineering focused on AI/ML workloads. 5+ years of experience in data analytics with Snowflake or Databricks platforms. Strong programming skills in Python, Java, or Scala. Familiarity with data storage solutions (Snowflake, Databricks) and APIs. Experience with cloud configuration and data governance. Knowledge of large language models (transformers) and frameworks like LangChain. Strong problem-solving skills and ability to thrive in a fast-paced environment. Preferred Qualifications Experience building AI agents and agentic workflows. Knowledge of MCP and Agent2Agent protocols. Understanding of generative models and their applications in data engineering. Familiarity with data governance and security best practices for GenAI workloads. Experience with Agile methodologies and collaboration tools like Jira and GitHub. Join Us in Securing the World's Data Rubrik (NYSE: RBRK) is dedicated to securing the world's data with Zero Trust Data Security.Our platform, powered by machine learning, protects data across enterprise, cloud, and SaaS applications, helping businesses stay resilient against cyberattacks and operational disruptions.

Job Title: Product Analyst - I Location: Bangalore, India Company: Glance An InMobi Group Company About Glance Founded in 2019, Glance is a consumer technology company powering disruptive digital platforms such as Glance, Roposo, and Nostra. Our flagship Glance Lock Screen is available on over 400 million smartphones globally, delivering personalized, context-aware content seamlessly. Roposo is revolutionizing live video experiences with immersive, creator-led content, while Nostra leads as the largest gaming platform in India and Southeast Asia, enabling users to discover, play, watch, learn, and compete. Headquartered in Singapore, Glance is an unconsolidated subsidiary of InMobi Group. At Glance, we encourage you to dream big and take ownership from day one. Collaborate with talented, ambitious teams on mission-critical projects that leverage bleeding-edge technology to redefine consumer experiences. We support your growth with daily meals, gym access, training sessions, modern tech tools, and a welcoming environment for your kids and pets. Role Overview As a Product Analyst - I, you will work closely with product managers, engineers, data scientists, and content teams to analyze, interpret, and provide actionable insights from data. Your work will directly influence product features, personalization strategies, and content optimization on India s largest visual content discovery platforms including Glance and Roposo. Key Responsibilities Collaborate with cross-functional teams and external partners to drive data-informed innovation. Work with product managers to define and analyze metrics, evaluate feature adoption, and measure product performance. Support personalization efforts by working with data science and engineering teams on live feed and tab features for Roposo and Glance apps. Partner with content teams to refine content strategies and monitor performance of shows and creators. Develop frameworks and processes to enable faster and more effective data analysis. Strong analytical mindset with a bias for action and attention to detail. Comfortable working with data tools to uncover insights and support product decisions. Energetic, quick learner who thrives in a fast-paced, cross-functional, and global environment. Ability to multitask and collaborate effectively with diverse stakeholders. Skilled in creating frameworks and processes for efficient data analysis. Required Qualifications Bachelor s or Master s degree in Computer Science, Statistics, Mathematics, or a related analytical field. 3 5+ years of experience in product analytics within consumer tech or digital product environments. Proficient in SQL/BigQuery, Excel, and dashboarding tools like Tableau, Superset, or Power BI. Knowledge of R or Python is a plus. Join Glance and play a key role in shaping data-driven decisions on some of India s largest and most innovative digital platforms. Apply now to grow your career in Bangalore! Qualification : Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or a related analytical field.

Product Manager Location: Bengaluru, Karnataka, India Department: Product Engineering Experience: 5 8 Years Employment Type: Full-Time About the Role We re looking for a Product Manager who thrives on building enterprise-grade products from the ground up. In this role, you ll own the P&L for custom-built, high-impact self-service apps developed for Fortune 500 clients ranging from performance monitoring to advanced analytics. These products already show 3x 5x ROI within the first year, and you ll be central to scaling that success. You will lead cross-functional squads of engineers, data scientists, designers, and BAs through the 0-to-1 journey across more than 30+ products in development. This is your chance to work on deeply technical solutions while driving product vision, delivery, and value realization. What You ll Do Product Development & Delivery Own and drive the entire product lifecycle from discovery to go-to-market and continuous iteration. Collaborate with engineering and design teams to translate requirements into feature-rich, scalable applications. Manage timelines, scope, and quality to ensure timely and high-quality product delivery using Agile/Scrum methodologies. Strategic Product Ownership Collaborate closely with clients to co-create tailored solutions that address specific business challenges. Define product goals, success metrics, and prioritization frameworks that align with business outcomes. Participate in core platform strategy meetings to influence the architecture powering all client-facing products. Technical Collaboration Partner with technical architects to design system architecture that is scalable and cloud-optimized. Oversee DevOps and CI/CD pipelines, promoting seamless development-to-deployment workflows. Ensure efficient data pipeline development, warehousing, and transformation aligned with product needs. Quality, Testing, and Rollout Define and manage test strategy including unit testing, automation suites, and QA gates. Own production rollouts and ensure smooth post-launch monitoring and feedback loops. Key Requirements Technical Skills 5 8 years of experience in product management, particularly for custom or data-driven applications. Hands-on experience working with UI/UX teams, and comfort with technologies such as React, Python, APIs, HTML/CSS. Understanding of cloud environments (AWS, Azure, GCP) and cost-optimized architectures. Familiarity with ETL processes, data lakes/warehouses, and modern product analytics frameworks. Non-Technical Skills Exceptional problem-solving, communication, and stakeholder management skills. Ability to juggle multiple priorities in a fast-paced environment while keeping teams aligned and motivated. Experience working with project management tools such as JIRA, Confluence, or similar platforms. Preferred Qualifications Proven experience managing multiple cross-functional product teams. Demonstrated ability to build from scratch ideate, prototype, iterate, and launch. Exposure to product-led growth strategies or enterprise SaaS models. Work on cutting-edge enterprise solutions used by Fortune 500 companies. Be part of a fast-paced, high-ownership environment where your contributions directly impact business outcomes. Collaborate with top-tier tech, data, and design teams to build transformative tools. Shape the future of self-service analytics and intelligent apps.

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.

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.

Job Title: Data Engineer Location: Bengaluru, Karnataka Experience: 5 to 8 Years Work Modality: Full-time (Work from office) Job Description: We are looking for an experienced Data Engineer to join our team and take responsibility for designing, developing, and maintaining scalable ETL/ELT pipelines. This is a full-time position based in Bengaluru, Karnataka, and you will be collaborating with cross-functional teams to define data requirements and ensure data accuracy, consistency, and integrity. Your role will also involve optimizing data workflows, automating processes, and ensuring high availability and reliability of data pipelines. Key Responsibilities: ETL/ELT Pipeline Development: Design, develop, and maintain scalable ETL/ELT pipelines to support data transformation and integration processes. Data Warehouse & Data Lake Optimization: Build and optimize data warehouses, data lakes, and real-time streaming solutions to support large-scale data operations. Collaboration & Data Requirements: Collaborate with cross-functional teams, such as product, data science, and analytics teams, to define data requirements and ensure data accuracy and consistency. Database Structure & Schema Management: Develop and maintain database structures and schemas to ensure efficient data storage and retrieval. Data Workflow Optimization: Optimize data workflows for performance, reliability, and scalability, ensuring the highest level of efficiency. Data Security & Compliance: Implement data security, governance, and compliance best practices to ensure that data is handled securely and meets industry standards. Pipeline Monitoring & Troubleshooting: Monitor, troubleshoot, and improve data pipelines to ensure uptime, reliability, and smooth data processing. Process Automation: Automate data-related processes to improve efficiency and reduce manual intervention, increasing the overall speed of data flow. Required Qualifications: Experience: 5+ years of experience in data engineering or 3-4 years of experience as a Data Engineer. Technical Skills: Strong proficiency in SQL and database management systems such as PostgreSQL, MySQL, SQL Server, etc. Experience with ETL tools such as Pentaho, Talend, Cdata, and SSIS. Exposure to Python, Java, or Scala for data processing is a plus. Experience with big data technologies such as Apache Spark, Hadoop, or Kafka. Familiarity with cloud services (AWS, Azure) and data storage solutions such as S3, Redshift, Snowflake, or BigQuery. Strong knowledge of data modeling, warehousing concepts, and data architecture best practices. Soft Skills: Excellent communication skills with the ability to collaborate effectively across teams. Strong problem-solving skills and the ability to work with large, complex datasets. What We Offer: Competitive Salary: Attractive salary based on experience and expertise. Collaborative Work Environment: Work in a dynamic and fast-paced environment with a team that fosters innovation and collaboration. Growth Opportunities: Opportunities to enhance your skills and career growth in the data engineering field. Comprehensive Benefits: Benefits package designed to support work-life balance and overall employee well-being.

Job Title: Business Intelligence (BI) Lead Life Sciences Sector About the Role: As the BI Lead, you will spearhead and develop Business Intelligence (BI) projects within the team, focusing on constructing an analytical data layer, developing custom BI reporting solutions, monitoring platform performance, and enabling self-serve reporting for Regional Business Units (RBU) and Global Business Units (GBU). Your primary responsibility is to deliver high-quality contributions to client projects in the life sciences sector. These tasks will range from basic analysis and problem-solving to assisting in the creation of more complex solutions. You ll demonstrate a comprehensive understanding of pharmaceutical data assets, including IQVIA, CRM, and MCM data, as well as country-specific variations. Key duties include training and upskilling Business Units (BUs) to use the self-serve layer effectively for report and dashboard creation, assessing data requirements for decision-making, and ensuring data accuracy. You ll work closely with engineering and data platform teams to improve data availability and reliability, while collaborating on client proposals and solution strategies. Additionally, you will contribute to documentation and specifications, design presentations, and actively engage in the consulting methodologies and life sciences market to continuously grow your knowledge. Key Responsibilities: Lead BI projects, including building and maintaining an analytical data layer, and developing BI solutions for reporting and visualization. Deliver high-quality, timely contributions to life sciences client projects, ranging from basic analysis to complex solutions. Utilize pharmaceutical data assets (IQVIA, CRM, MCM) and understand regional data variations. Train Business Units (BUs) to efficiently use the self-serve reporting layer for creating reports and dashboards. Assess data requirements, identify suitable data sources, ensure data accuracy, and perform necessary transformations for decision-making. Establish and track business metrics, and perform in-depth process analysis to identify areas for improvement. Collaborate with engineering and data platform teams to enhance data availability and reliability. Review and analyze client requirements, contribute to proposal development, and create tailored client solutions. Create detailed documentation, including specifications and quantitative/qualitative analyses. Present client deliverables within established frameworks, adapting presentations to audience needs. Stay engaged in consulting methodologies, life sciences market trends, and professional development opportunities. Manage project-based responsibilities under the guidance of senior consultants and directors. Desired Candidate Profile: Proficiency in SQL and BI platforms, particularly Power BI (Spotfire knowledge is a plus). Extensive experience with data transformation/ETL, data modeling, and a strong understanding of data platforms and ETL processes. Hands-on experience with Power BI, including the creation of reports, dashboards, and visualizations, and experience in environments such as Salesforce, Snowflake, or Azure. Skilled in migrating SSRS reports/Tabular reports to Power BI Paginated Reports. Advanced knowledge of Power Query M and experience building sophisticated DAX queries. Experience implementing static and dynamic Row Level Security, along with extensive knowledge in dataset design, data cleansing, and aggregation. Understanding of relational database structures, principles, and practices. Solid SQL skills, including the ability to write complex queries and create SQL views for custom datasets. Strong proficiency in Excel, PowerPoint, and Access, with VBA knowledge considered a plus. Proven ability to build relationships with multiple stakeholders (BI engineers, Data Engineers, Consulting teams, Product Managers). Familiarity with Software Development Life Cycle (SDLC) and Agile methodologies. Experience with technical project execution, including proposal writing, creating BRD, PDD, SDD, and user documentation. Excellent verbal and written communication skills. Previous experience in application or implementation support is required. Strong problem-solving skills and a macro-level approach to research and analytics. Good to Have: Experience with other BI technologies (e.g., Tableau, Looker Studio, ThoughtSpot). Knowledge of Python/R. Experience with Microsoft Power Platform tools (e.g., PowerApps, Power Automate). Hands-on experience with Canvas App Configuration, Canvas App Functions, Power Portals, Power Automate Desktop, and custom connectors. Familiarity with Azure services, AI builder, Virtual Agents, and SharePoint list customization. Microsoft Power Platform certification is a plus. Qualifications: Bachelor s or Master s degree in Computer Science, Information Technology, or a related field. 6-8 years of relevant experience. Demonstrated collaborative approach, working effectively across teams to achieve objectives. Knowledge of core business processes and their impact on decision-making and growth. Familiarity with consulting methodologies, tools, and techniques. Up-to-date with current industry trends and insights into competitors and marketplace dynamics. Proficiency in time management, Scrum methodologies, and agile working practices. Qualification : Bachelors or Masters degree in Computer Science, Information Technology, or a related field.

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.

Your Impact We are seeking a passionate Data Engineer with expertise in Python development who is excited about cloud-based data engineering using AWS services. You will be an integral part of a dynamic, multi-disciplinary team, working closely with digital product professionals, data scientists, cloud engineers, and other stakeholders. As a key member of a global team working on our generative AI initiative, you will be based in one of our European offices. McKinsey s Tech Ecosystem function is responsible for developing and delivering all technology solutions for the firm s internal use, and your role will be crucial in driving the development of data solutions to support generative AI applications. You will work with a team of data engineers to develop robust data ingestion pipelines and enhance data processing capabilities that integrate data into systems used by AI applications. Your responsibilities will include writing Python code, creating tests, developing and maintaining GitHub Action CICD pipelines, and managing AWS-based infrastructure and Docker containers. Your Growth As a member of the global team working on our generative AI initiative, you will play a key role in shaping and accelerating the delivery of McKinsey's target state data platform, which will enable AI use-cases. You will be part of our cloud-first approach, transforming data platforms and analytical applications across the firm. Working closely with multidisciplinary teams, you will contribute to building cutting-edge data solutions in a fast-paced, innovative environment. McKinsey s Tech Ecosystem function is responsible for developing all technology solutions for the firm s internal needs, and you ll have the opportunity to shape how these solutions evolve. Your Qualifications and Skills 3+ years of professional experience as a Data Engineer, with a focus on cloud-based data engineering using AWS services Expertise in Python development and a strong understanding of clean code, modularity, error handling, and test automation Extensive experience with relational databases and data pipeline performance Hands-on experience with Docker and CI/CD pipelines (e.g., GitHub Actions) Strong execution focus, with the ability to work independently in complex, fast-paced environments and deliver results Demonstrable experience in solving data pipeline performance issues and diagnostics Interest in generative AI and machine learning topics Experience with Kedro framework is a plus Opinionated and confident in sharing ideas, willing to speak up at all levels Familiarity with Agile principles and product development methodologies Excellent problem-solving skills and the ability to analyze and resolve complex data engineering challenges Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams

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)