Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy perks, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

Primary Responsibilities

• End-to-End Data Pipeline Engineering: Architect, build, and maintain scalable, reliable, and secure ETL/ELT pipelines to ingest and process massive, complex datasets. Implement enterprise Lakehouse architectures using the Databricks or Snowflake Medallion Framework (Bronze, Silver, Gold zones)
• Predictive Analytics & Advanced Modelling: Formulate, train, validate, and deploy production-grade machine learning models to solve critical operational and strategic business challenges




• AI Engineering & Autonomous Systems: Design, build, and optimize enterprise Generative AI systems, Multi-Agent autonomous workflows, and advanced Retrieval-Augmented Generation (RAG) applications
• Big Data Processing (Python/Scala): Write high-performance, distributed code using PySpark or Scala Spark to transform petabyte-scale structured and unstructured data, ensuring optimal cluster configuration and resource management
• Advanced SQL Development: Write highly intricate SQL queries, window functions, and dynamic transformations optimized for Databricks SQL Warehouses, performance tuning
• Core Technical Skill Set
• Data Engineering & Big Data (The Foundation)
• Databricks or Snowflake Ecosystem: Deep fluency in Unity Catalog, Delta Lake storage management, Delta Live Tables, and access controls
• Core Languages: Advanced programming skills in Python and/or Scala applied to distribut

📌 Senior Data Scientist (Noida)
🏢 Optum India
📍 Noida