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

Lead the design, development, and optimization of end to end data ingestion, ETL/ELT pipelines, and workflow orchestration across Azure, GCP, and AWS environments
Architect and manage large scale data warehouse and lakehouse solutions using Snowflake, BigQuery, and Databricks (PySpark, SQL), ensuring performance, scalability, and cost efficiency
Oversee data modeling, normalization, schema design, and ML ready data preparation,



enabling high quality downstream analytics and AI/ML workloads
Implement and enforce robust data quality checks, validation frameworks, lineage tracking, and metadata management using tools like Unity Catalog, Terraform, Git-based CI/CD
Drive engineering excellence across batch and streaming pipelines, ensuring resiliency, fault tolerance, and high throughput for structured and unstructured datasets
Collaborate with clinical, analytics, and business stakeholders to gather requirements and translate them into scalable technical solutions aligned to healthcare standards (HL7, FHIR, claims, EMR, ICD/CPT/SNOMED)
Perform advanced analysis on healthcare datasets to support insights, decisions, and compliance sensitive workflows
Provide hands-on leadership, coordinating engineering tasks, prioritizing work, and ensuring timely delivery with solid quality controls
Mentor and guide data engineers, fostering best practices in coding, testing, documenta

📌 Data Engineering Manager (Bengaluru)
🏢 Optum India
📍 Bengaluru