Azure Data Engineer with Fabric

Tata Consultancy Services; Mumbai; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

Tata Consultancy Services (TCS) in Mumbai is hiring a data engineer to design and implement end-to-end data solutions using Microsoft Fabric. The role requires 6–10 years in data engineering with hands-on Fabric expertise and skills in SQL, PySpark, and delta lake.

Responsibilities include building data pipelines with ADLS Gen2, Data Factory, Synapse, and Event Hubs, plus developing notebooks for data transformation. Emphasis on data governance, security, and scalable architecture.

Qualifications

• 6–10 years of IT/data engineering experience.
• Strong hands-on experience with Microsoft Fabric.
• Proficiency in SQL, PySpark, Spark SQL, and Delta Lake.
• Experience with Pipelines, Dataflows Gen2, Lakehouse and Notebooks in Fabric.
• Understanding of data modeling, data warehousing, and semantic layer design.
• Knowledge of DevOps practices, Git, CI/CD.
• Experience in data governance, Purview, lineage, and metadata management.
• Strong security knowledge: RBAC, Key Vault, encryption, PII handling.

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

Skills

Data Engineering

Microsoft Fabric

SQL

PySpark

Spark SQL

Delta Lake

Pipelines Gen2

Lakehouse

Notebooks

Data Modeling

Data Warehousing

Semantic Layer

DevOps

Git

CI/CD

Data Governance

Purview

RBAC

Key Vault

PII Handling

Security

Education

15 years of Full Time Education

Tools

Microsoft Fabric

Azure Data Factory

ADLS Gen2

Azure Synapse

Event Hubs

Notebooks

Job description

TCS Hiring for Azure Data Engineer with Fabric

Experience Range: - 06 To 10 Years (Mandatory)

(Note: Candidates below 6 years of IT experience shall not be considered)

JOB DESCRIPTION

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.
• 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).
• 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.
• Strong understanding of security: RBAC, Key Vault, encryption, PII handling.

Good to Have Skills:

• Certifications: DP‑203 (Azure Data Engineer) or DP‑600 (Fabric Analytics Engineer).
• Experience with Power BI (DAX, RLS, semantic model optimization).
• Experience with Databricks or Synapse Spark environments.

15 years of Full Time Education