Required skills
Job description
Contract Databricks Data Engineer (2–5 yrs) needed in Gurugram/Noida to build Databricks pipelines using Python notebooks and Workflows, implement near real-time S3 monitor-based streaming ingestion on AWS, and model data using Delta Lake medallion (Bronze/Silver/Gold) with governance via Unity Catalog. The role will serve curated datasets through Databricks
Project overview
Contract Databricks Data Engineer (2–5 yrs) needed in Gurugram/Noida to build Databricks pipelines using Python notebooks and Workflows, implement near real-time S3 monitor-based streaming ingestion on AWS, and model data using Delta Lake medallion (Bronze/Silver/Gold) with governance via Unity Catalog. The role will serve curated datasets through Databricks SQL Warehouse to downstream services (BFFs) while enforcing data quality, study-level isolation, and GxP-compliant audit trails. Must be strong in Databricks, Python, SQL, AWS (S3/Secrets Manager/CloudWatch), streaming ingestion, and Git/Jenkins CI/CD.
Responsibilities
- Build Databricks pipelines (Python notebooks + Workflows) ingesting from Rave, IWRS, CSS, SAE, protocol deviations, etc.
- Implement real-time S3 monitor-based streaming ingestion.
- Model data across Bronze ? Silver ? Gold in Delta Lake, governed by Unity Catalog.
- Serve curated data via Databricks SQL Warehouse to BFFs.
- Enforce data quality, study-level isolation, audit trails (GxP).
- 2+ yrs data engineering; strong Databricks, Python, SQL.
- AWS (S3, Secrets Manager, CloudWatch).
- Streaming ingestion; Git + Jenkins CI/CD.
- Unity Catalog, Databricks Asset Bundles, Vector Search / Model Serving.
Requirements
- Databricks (notebooks, Workflows)
- Python
- SQL
- Data engineering (2+ years)
- Delta Lake
- Medallion architecture (Bronze/Silver/Gold)
- AWS S3
- AWS Secrets Manager
- AWS CloudWatch
- Streaming ingestion (Databricks/Spark streaming patterns)
- Git
- Jenkins CI/CD
- Data quality enforcement
- Study-level data isolation
- Audit trails / GxP compliance
- AI-driven development
Project details
- Start: flexible
- Remote: hybrid
- Location: India, IN
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