Lead II -Databrick AWS Engineer
UST (company site, opens in a new tab)8+ yrsTrivandrumOn-siteDirect career pageEst. 25–40 LPA
Posted on 25 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 with PySpark and Delta Lake, focusing on real-time streaming ingestion from Kafka and other event sources.
- Implement layered data architecture (Bronze, Silver, Gold) for healthcare transactional data involving ingestion, validation, enrichment, and applying data quality/business rules.
- Lead cloud migration efforts from on-premise to Databricks and Snowflake, drive CI/CD and DevOps practices, mentor team members, and collaborate with stakeholders for scalable delivery.
Minimum Requirements
- 8+ years total experience in data engineering.
- 3+ years hands-on experience with Databricks (streaming and batch).
- Strong expertise with PySpark, Spark SQL, Spark Streaming, and real-time data streaming using Kafka.
- Experience with AWS services including S3, Airflow, Lambda, and implementing CI/CD pipelines with Git automation.
Ideal Candidate Profile
- Experienced in the healthcare payer domain with knowledge of claims, membership, coverage data, and familiarity with FHIR or healthcare data standards.
- Proven leadership experience in tech lead or senior roles handling module ownership and team mentoring across distributed teams.
- Skilled in designing and delivering scalable data engineering solutions under SLA-driven environments with security and data governance focus (PII/HIPAA).