Azure Data Engineer (Databricks) Remote, India

We're hiring 3 Data Engineers to build and scale an enterprise Cloud Data Lakehouse on Azure Databricks + ADLS Gen2. You'll own pipelines end-to-end — from raw ingestion through Bronze/Silver/Gold — and work directly with data scientists, analytics engineers, and business stakeholders.

This is a hands-on engineering role, not a notebook-only role. If you write modular, tested, version-controlled Python and care about what a job costs to run, you'll fit.

What you'll do

• Build scalable batch and streaming pipelines with PySpark, Spark SQL, and Databricks
• Orchestrate workflows via Azure Data Factory, Databricks Workflows, and Delta Live Tables
• Implement Medallion Architecture on Delta Lake — partitioning, schema enforcement, data quality expectations
• Tune clusters, jobs, and queries to kill bottlenecks and cut cloud spend
• Enforce row/column-level access and lineage through Unity Catalog
• Ship via Azure DevOps or GitHub Actions with real CI/CD and test coverage
• Deliver clean Gold-layer datasets for ML models and Power BI

What we're looking for (3–5 years)

• Hands-on Azure Databricks, Apache Spark (PySpark/Spark SQL), Delta Lake
• Azure core: ADLS Gen2, ADF, Key Vault
• Strong Python + advanced SQL (window functions, complex joins, query tuning)
• Dimensional modelling (Star/Snowflake) and Medallion Lakehouse patterns
• Git, code reviews, modular Python outside notebooks, basic CI/CD
• Bachelor's in CS/IT or equivalent practical experience
• Clear communication with non-technical stakeholders

Nice to have

Unity Catalog · Kafka or Azure Event Hubs · Terraform/Bicep · Databricks Certified Data Engineer Associate

Details

Remote (India) · Full-time · 3 positions - Immediate joiner only

To apply: [Apply here or [Confidential Information] ] — subject line Azure DE — [Your Name]