Lead II - Data Engineering_BCBSA_Databricks; AWS; Python
UST (company site, opens in a new tab)7+ yrsHyderabadOn-siteDirect career pageEst. 20–34 LPA
Posted on 16 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead design, implementation, and maintenance of scalable, cloud-native data pipelines on AWS using Databricks for US Healthcare data.
- Architect and scale lakehouse structures with Apache Iceberg, enforcing data governance and security via Databricks Unity Catalog and RBAC for PHI.
- Oversee end-to-end processing and risk adjustment workflows of Medicare Advantage data while ensuring HIPAA compliance and mentoring junior engineers.
Minimum Requirements
- 7+ years data engineering experience with at least 2 years in a technical lead role.
- Hands-on experience processing Medicare Advantage data and US Healthcare data domain expertise.
- Proven experience with AWS (S3, EMR, Lambda, IAM, Glue) and Databricks platforms including Unity Catalog and Apache Iceberg.
- Proficiency in Python, PySpark, advanced SQL, and healthcare interoperability standards FHIR and HL7.
Ideal Candidate Profile
- Experienced leader in data engineering focused on healthcare, especially Medicare Advantage workflows and risk adjustment.
- Technical expertise in cloud-native big data architecture using Databricks on AWS environments with governance and security emphasis.
- Skilled in developing complex data pipelines and frameworks for healthcare interoperability and regulatory compliance.