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 advantages 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
Data Engineering and Architecture
Design and build scalable, secure, and high-performance data platforms on Microsoft Azure
Develop batch and real-time data pipelines using Databricks, Spark, and Azure Data Factory
Implement Medallion Architecture (Bronze, Silver, Gold) and Lakehouse design patterns
Optimize data processing workflows for performance, cost, reliability, and scalability
Build enterprise data models supporting analytics, AI/ML, and reporting use cases




Azure and Databricks
Develop and maintain solutions using Azure Data Lake, Azure Databricks, Azure Synapse, Event Hub, and Azure SQL
Leverage PySpark, Spark SQL, Delta Lake, and Databricks Workflows for large-scale data processing
Implement monitoring, performance tuning, and governance within Azure environments
Support cloud migration and modernization initiatives
Generative AI and LLM Enablement
Build AI-ready data pipelines to support LLM, RAG, and Agentic AI solutions
Integrate vector databases, embeddings, semantic search, and knowledge retrieval frameworks
Collaborate with Data Scientists and AI Engineers to develop GenAI applications
Ensure data quality, lineage, governance, and compliance for AI workloads
Support LLM operationalization and production deployment
CI/CD, DataOps and MLOps
Design and implement CI/CD pipelines using Azure DevOps and GitHub Actions
-

📌 Senior Data Engineering Consultant Bengaluru
🏢 Optum India
📍 Bengaluru