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Senior Data Engineering Lead

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Hybrid

Senior Data Engineering Lead

Optum

Senior Data Engineering Lead

Skills

SQL QueriesData EngineeringDockerPythonAWS LambdaDatabricksAIAWSPySparkTerraform

1 month ago

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Important information


Contract type:

Permanent

Location:

Chennai, Tamil Nadu, India

Work mode:

Hybrid

Published on:

10 September 2026

What they need


  • Overall 5+ YRS of experience in Data Engineering
  • Advanced Python, SQL, and Apache Spark/PySpark; strong understanding of distributed processing and performance tuning.
  • Production Databricks experience with Auto Loader, Delta Lake, Workflows, Unity Catalog, notebooks/jobs, SQL Warehouses, and cluster/job optimization.
  • Hands-on AWS experience with S3, IAM, VPC, ECS/EKS or Lambda, Step Functions, EventBridge, CloudWatch, Secrets Manager, and KMS.
  • Practical Apache Iceberg knowledge, including tables, catalogs, snapshots, schema/partition evolution, compaction, and interoperability with query engines.
  • Experience with Git, pull requests, CI/CD, Docker, Terraform/CloudFormation, automated testing, observability, and incident response.
  • Experience processing semi-structured data and building resilient ingestion pipelines with quality controls, error handling, and replay capability.
  • Healthcare data knowledge: FHIR R4 and/or HL7 v2, OMOP CDM, clinical terminologies, PHI, HIPAA-aligned engineering controls, and de-identification concepts.
  • Demonstrated responsible use of AI coding tools and the ability to critically review, test, and productionize generated code.

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