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Databricks Data Engineer (AWS, Delta Lake, Streaming)

Confidential · India · Hybrid · Senior

  • India · Hybrid

Indexed (5 days ago) · refreshed constantly

Start
flexible
Work mode
Hybrid
Contract
Freelance / B2B
Seniority
Senior
Reference
TRCD-26-06180

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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