Lead II - Databricks Engineer
UST (company site, opens in a new tab)8+ yrsTrivandrumOn-siteDirect career pageEst. 22–35 LPA
Posted on 18 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design and develop end-to-end Databricks data pipelines including real-time streaming ingestion using Kafka.
- Lead and own modules independently while mentoring team members, ensuring design, development, and delivery quality.
- Support cloud migration from on-premise to Databricks and Snowflake, optimizing pipelines for SLA-driven performance and implementing CI/CD pipelines.
Minimum Requirements
- 8+ years of experience in Data Engineering with 3+ years hands-on experience in Databricks.
- Strong expertise in PySpark, Spark SQL, Spark Streaming, and real-time data streaming using Kafka.
- Experience with AWS services including S3, Airflow, Lambda and CI/CD deployment automation tools.
- Domain experience in Healthcare Payer (Claims, Membership, Coverage) with understanding of data privacy and governance (PII/HIPAA).
Ideal Candidate Profile
- Experienced at managing leadership responsibilities at Lead or Senior Tech Lead levels within distributed team environments.
- Deep technical proficiency in Databricks and streaming data architectures, with a proven track record in building scalable, SLA-compliant pipelines.
- Background in healthcare data engineering projects involving data modeling, compliance with healthcare standards (FHIR preferred) and complex data transformation workflows.