Lead Data Engineer (GenAI / LLM Applications)

We are looking for a skilled and motivated Lead Engineer to join our Data Science and Delivery group at Clario, a part of Thermo Fisher Scientific. This role combines software development, data engineering, and analytical problem‑solving to design, build, and maintain scalable data platforms that support clinical trial operations and business intelligence. You will work across the full software development lifecycle (SDLC)—from requirements gathering through production support—collaborating closely with data scientists, analysts, product managers, and engineering teams to deliver high‑quality, data‑driven solutions.

What We Offer

• Competitive compensation aligned with local market practices
• Comprehensive health and wellness benefits
• Paid time off and company holidays
• Opportunities for professional development, learning, and career growth
• The flexibility of working from Bangalore or remotely within India, while collaborating with global teams

What You’ll Be Doing

• Design, develop, and maintain scalable software architectures and data pipelines that integrate with analytical and operational systems.
• Write clean, reusable, and well‑tested Python code using frameworks such as Flask and related libraries.
• Leverage AI‑assisted development tools, including GitHub Copilot and LangChain, to design, build, and integrate LLM‑powered solutions such as retrieval‑augmented generation (RAG) pipelines, intelligent agents, and automated workflows using AWS Bedrock or similar services.
• Develop and optimize complex SQL across Oracle, MS SQL Server, PostgreSQL, and Snowflake, including procedures, functions, views, analytical functions, and dynamic SQL.
• Design and implement ETL pipelines using Snowflake and related data processing technologies.
• Implement scheduling and orchestration using Apache Airflow or similar workflow orchestration frameworks.
• Establish and maintain data quality frameworks, versioning, and governance practices to ensure data reliability, integrity, and compliance.
• Develop and maintain data architectures and models for both structured and unstructured data sources.
• Troubleshoot production issues and drive continuous improvement in software quality, performance, and reliability.
• Deploy, manage, and support solutions on AWS, including storage, compute, and pipeline services.
• Create source‑to‑target mappings and support data and code migration initiatives.
• Partner with stakeholders to gather requirements, translate business needs into technical solutions, and produce clear, well‑structured documentation.
• Collaborate with product managers, analysts, and cross‑functional teams to deliver data‑driven insights and reporting using tools such as Plotly and Power BI.

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