Lead II - Data Engineering_BCBSA_Apache Spark; PySpark; Databricks
UST (company site, opens in a new tab)8+ yrsTrivandrumOn-siteDirect career pageEst. 18–30 LPA
Posted on 16 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and optimize end-to-end data pipelines using Databricks including real-time streaming ingestion from Kafka.
- Implement layered data architectures (Bronze, Silver, Gold) supporting data transformation, validation, enrichment, and reporting for healthcare datasets.
- Lead and mentor team members, take ownership of modules independently, and support cloud migration and CI/CD pipeline integration.
Minimum Requirements
- 8+ years of experience in Data Engineering with at least 3 years hands-on experience in Databricks.
- Strong expertise in PySpark, Apache Spark (batch and streaming), Spark SQL, and Kafka streaming.
- Experience working with AWS components such as S3, Airflow, and Lambda.
- Domain experience in Healthcare Payer including Claims, Membership, Coverage; understanding of healthcare data standards like FHIR, and data privacy regulations such as PII/HIPAA.
Ideal Candidate Profile
- Proven leadership capabilities demonstrated by prior Tech Lead or Senior roles driving design and delivery in distributed teams.
- Strong technical skillset focused on scalable real-time streaming solutions and cloud migration projects.
- Experienced in implementing data quality, deduplication, and governance in healthcare data environments.