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.




Solid 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.

Positive 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