Azure Data
Summary
Senior Azure data engineering role in Pune (hybrid/remote, 2:00–11:00 PM IST shift) for someone with 7+ years designing Azure data platforms — data lakes, lakehouses, and warehouses — and building ETL/ELT pipelines with ADF, Databricks, PySpark, Snowflake/Synapse, plus data modeling, governance, CI/CD, and mentoring.
Experience: 7+ years in Azure Data Engineering
Location: Pune (relocation assistance available)
Work mode: Hybrid / Remote
Shift: 2:00 PM11:00 PM IST
Notice period: Immediate joiners preferred
Key skills: Azure, Databricks, Microsoft Fabric, Snowflake, ADF, Synapse, PySpark, SQL, ETL/ELT, Azure DevOps, and Git.
Good to have: Airflow, Delta Lake, Unity Catalog, Power BI, Terraform, Kafka/Event Hubs, Python, and data modeling.
Key responsibilities:
- Design secure, scalable Azure data platforms, including data lakes, lakehouses, and data warehouses.
- Build and maintain ETL/ELT pipelines using ADF, Databricks, PySpark, and related Azure services.
- Create ingestion frameworks for data from databases, APIs, SAP, Salesforce, SharePoint, and files.
- Design fact and dimension models, including SCD Type 1 and Type 2.
- Optimize Spark jobs, SQL queries, and cloud resources for performance and cost.
- Implement data security, governance, monitoring, quality, and CI/CD practices.
- Lead architecture and code reviews, prepare design documents, and mentor engineering teams.