Key Responsibilities:

- Design and develop end-to-end data engineering solutions using Microsoft Fabric (Dataflows Gen2, Pipelines, Lakehouse, OneLake).

- Build and manage data ingestion pipelines using Azure services such as ADLS Gen2, Azure Data Factory, Azure Synapse, Event Hubs.

- Develop Notebooks using PySpark/Spark SQL for data transformation and validation.

- Implement and optimize Lakehouse architectures using Delta/Parquet formats.

- Create and maintain Semantic Models in Fabric for reporting and BI consumption.

- Implement secure access using RBAC, Key Vault, Managed Identity, and follow best practices for PII protection.

- Improve performance through partitioning, indexing, and workload tuning within Fabric.

- Build CI/CD pipelines using Git & Azure DevOps for data engineering workflows.

- Collaborate with business, analytics, and architecture teams to deliver scalable data solutions.

Required Skills & Experience:

- Experience in Data Engineering.





- Strong hands-on experience with Microsoft Fabric (mandatory).

- Proficiency in Azure Data Services: ADLS Gen2, ADF/Synapse, Azure SQL.

- Expertise in SQL, PySpark, Spark SQL, and Delta Lake.

- Experience with Pipelines, Dataflows Gen2, Lakehouse, Notebooks in Fabric.

- Understanding of data modeling, data warehousing, and semantic layer design.

- Working knowledge of DevOps practices, Git, CI/CD pipelines.

- Experience in data governance, Purview, lineage, and metadata management.

- Robust understanding of security: RBAC, Key Vault, encryption, PII handling.

Good to Have Skills:

- Certifications: DP203 (Azure Data Engineer) or DP600 (Fabric Analytics Engineer).

- Experience with Power BI (DAX, RLS, semantic model optimization).

- BFSI/Financial domain experience.

- Experience with Databricks or Synapse Spark environments.

📌 Azure Data Engineer with Microsoft Fabric (Mumbai)
🏢 Tata Consultancy Services
📍 Mumbai