Lead II - Data Engineering_AWS Databricks
UST (company site, opens in a new tab)8+ yrsPuneOn-siteDirect career pageEst. 25–40 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and lead enterprise-scale data platforms and pipelines using Databricks, PySpark, and Spark SQL, including scalable batch and real-time ingestion solutions.
- Lead cloud modernization and migration initiatives to Databricks Lakehouse architectures, enforcing data quality, observability, and governance including Unity Catalog implementation.
- Provide technical leadership through mentoring, CI/CD, DataOps, Infrastructure as Code practices, and optimize workloads for performance, scalability, and cost efficiency.
Minimum Requirements
- Minimum 8+ years of experience in Data Engineering with at least 5+ years hands-on with Databricks.
- Prior experience in Tech Lead or Senior engineering roles.
- Experience in Healthcare Payer domain including claims, membership, and coverage is required.
- Exposure to AWS and Azure cloud services and data security/governance standards like PII/HIPAA.
Ideal Candidate Profile
- Experienced leader capable of independently owning modules and collaborating in distributed teams, driving design and delivery quality.
- Strong background in Healthcare Payer data ecosystem with familiarity of FHIR and healthcare data standards preferred.
- Operates effectively in cloud modernization projects and integrates advanced analytics tools such as GenAI, MLflow, and Vector Search in data engineering workflows.