Azure Data Lead

Experience: Not Available to Not Available years

Location: Bengaluru, India

Skills: Azure Data Factory, ADLS, Synapse, Databricks, PySpark, Spark SQL, Microsoft Fabric, Lakehouse, Warehouse, Dataflows, Notebooks, Semantic Models, Power BI, CI/CD, Azure DevOps, Git, SQL, Delta Lake, medallion architecture, data modeling

Job Summary
We are seeking an Azure Data & Microsoft Fabric Engineer to build, optimize, and support modern data platforms across Azure and Microsoft Fabric. This role focuses on end‑to‑end data engineering — from ingestion and transformation to analytics, governance, and deployment — to enable scalable, secure, and high‑performance data solutions.

Key Responsibilities
• Build ETL/ELT pipelines using Azure Data Factory, Synapse, or Fabric Pipelines.
• Develop scalable data models using ADLS, Databricks (PySpark/Spark SQL), Fabric Lakehouse & Warehouse.
• Implement secure data architectures using RBAC, Key Vault, Private Endpoints.
• Build and maintain Fabric workloads: Lakehouse, Warehouse, Dataflows, Notebooks, Semantic Models.




• Integrate semantic models with Power BI for enterprise reporting.
• Implement CI/CD for data assets using Azure DevOps/GitHub.
• Optimize cost and performance across Azure and Fabric environments.

Skill Requirements
• Solid hands‑on experience with Azure Data Factory, ADLS, Synapse, and Databricks.
• Practical experience with Microsoft Fabric (Lakehouse, Warehouse, Pipelines, Dataflows).
• Robust SQL, Python, and PySpark skills.
• Knowledge of Delta Lake, medallion architecture, and data modeling.
• Experience with Git and CI/CD workflows.

Other Requirements
• Strong hands‑on experience with Azure Data Factory, ADLS, Synapse, and Databricks.
• Practical experience with Microsoft Fabric (Lakehouse, Warehouse, Pipelines, Dataflows).
• Solid SQL, Python, and PySpark skills.
• Knowledge of Delta Lake, medallion architecture, and data modeling.
• Experience with Git and CI/CD workflows.

📌 Azure Data Lead Bengaluru
🏢 HCL Technologies
📍 Bengaluru