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

• Data Modeling & Analytics Engineering
• Design, develop, and maintain scalable dimensional data models, including Star and Snowflake schemas
• Build curated data products that support reporting, analytics, AI, and machine learning use cases
• Define and standardize business logic, KPIs, metrics, and calculations across enterprise domains
• Create reusable datasets, semantic models, and data assets to improve consistency and reduce duplication




• Collaborate with business stakeholders to translate requirements into analytical and reporting solutions

• Databricks Platform Engineering
• Design and implement modern data architectures leveraging Databricks Lakehouse principles
• Develop and maintain Bronze, Silver, and Gold data layers
• Build scalable ETL/ELT pipelines using Spark, PySpark, SQL, and Databricks Workflows
• Optimize Delta Lake implementations using partitioning, Z-Ordering, data skipping, Change Data Feed (CDF)

• Delta optimization techniques
• Implement CI/CD pipelines and DevOps best practices for data engineering and analytics solutions
• Context Layer & Semantic Layer Development
• Design and manage enterprise semantic and context layers to provide a single source of truth for reporting and analytics
• Standardize business metrics, dimensions, hierarchies, and definitions across reporting platforms
• Enable self-service analytics through Power BI,

📌 Data Engineering Lead (Noida)
🏢 Optum India
📍 Noida