Data Engineer – Azure

Data Engineer – Azure — Data Engineer – Azure – Mumbai A senior‑level, hands‑on role building and optimizing scalable Azure‑based data platforms. You’ll design robust ETL/ELT pipelines, deliver analytics‑ready datasets, and partner with architects and global delivery teams. Ideal for engineers fluent in SQL, Python and Databricks who thrive in fast‑paced cloud environments. What You’ll Do Build end‑to‑end batch (and basic streaming) pipelines on Azure Data Factory and Databricks. Write complex SQL transformations and Python/PySpark code for large‑scale data processing. Ingest, store, and curate data in ADLS Gen2, Synapse, and Delta Lake. Optimize data models for performance, cost and query efficiency. Deploy and monitor pipelines across environments using CI/CD and Azure Monitor. Troubleshoot failures, perform root‑cause analysis, and ensure data quality. Document solutions and participate in code reviews with cross‑functional teams. What You Need 4–6 years of hands‑on experience delivering Azure data solutions (ADF, ADLS Gen2, Databricks, Synapse). Expert‑level SQL skills: complex joins, aggregations, transformations. Strong Python proficiency, including ETL scripting and PySpark on Databricks. Proven ability to design cloud‑native data lakes and analytical data stores. Familiarity with Infrastructure‑as‑Code (ARM templates or Terraform) and basic CI/CD pipelines (Azure DevOps or GitHub Actions). Understanding of logging/monitoring via Azure Monitor/Log Analytics. Good to Have Experience with streaming services such as Azure Event Hubs or Kafka. Knowledge of Lakehouse architecture, Delta Lake, and Power BI integration. The Opportunity This individual‑contributor position operates in a global delivery model with flexible IST shift windows (12 PM–9 PM or 2 PM–11 PM). You’ll work