Lead II - Databricks Engineer
UST (company site, opens in a new tab)8+ yrsTrivandrumOn-siteDirect career pageEst. 20–35 LPA
Posted 20h ago
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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 a focus on streaming and batch processing.
- Build and maintain real-time ingestion pipelines from Kafka and other event-driven sources, implementing layered data architecture for transformation and reporting.
- Lead modules independently, mentor team members, support cloud migration to Databricks+Snowflake, and ensure SLAs through performance optimization and CI/CD implementation.
Minimum Requirements
- 8+ years of experience in Data Engineering with at least 3 years hands-on Databricks experience.
- Strong expertise in Databricks (PySpark, Spark SQL, Spark Streaming) and real-time streaming technologies (Kafka).
- Experience with AWS services (S3, Airflow, Lambda), CI/CD practices, and deployment automation.
- Domain experience in Healthcare Payer (Claims, Membership, Coverage) with understanding of PII/HIPAA compliance.
Ideal Candidate Profile
- Experienced data engineering lead with prior tech lead or senior role experience, capable of independent module ownership and cross-team collaboration.
- Strong background in designing and operating scalable streaming and batch data pipelines in cloud environments using Databricks and AWS.
- Familiar with healthcare data standards like FHIR and data governance, ensuring secure handling of sensitive healthcare datasets.