Skip to main content
Posted 30 August, 2026

Azure Data Engineer with Fabric

Tata Consultancy Services
400001, MH, IN Full Time
Reference: 271c8788e131d6d4

Job Description

TCS Hiring for Azure Data Engineer with Fabric

\n


\n

Experience Range: - 06 To 10 Years (Mandatory)

\n

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

\n

JOB LOCATION: Mumbai

\n


\n

JOB DESCRIPTION

\n


\n

Key Responsibilities:

\n


\n
    \n
  • Design and develop end-to-end data engineering solutions using Microsoft Fabric (Dataflows Gen2, Pipelines, Lakehouse, OneLake).
  • \n
  • Build and manage data ingestion pipelines using Azure services such as ADLS Gen2, Azure Data Factory, Azure Synapse, Event Hubs.
  • \n
  • Develop Notebooks using PySpark/Spark SQL for data transformation and validation.
  • \n
  • Implement and optimize Lakehouse architectures using Delta/Parquet formats.
  • \n
  • Create and maintain Semantic Models in Fabric for reporting and BI consumption.
  • \n
  • Implement secure access using RBAC, Key Vault, Managed Identity, and follow best practices for PII protection.
  • \n
  • Improve performance through partitioning, indexing, and workload tuning within Fabric.
  • \n
  • Build CI/CD pipelines using Git & Azure DevOps for data engineering workflows.
  • \n
  • Collaborate with business, analytics, and architecture teams to deliver scalable data solutions.
  • \n
\n


\n

Required Skills & Experience:

\n


\n
    \n
  • Experience in Data Engineering.
  • \n
  • Strong hands-on experience with Microsoft Fabric (mandatory).
  • \n
  • Proficiency in Azure Data Services: ADLS Gen2, ADF/Synapse, Azure SQL.
  • \n
  • Expertise in SQL, PySpark, Spark SQL, and Delta Lake.
  • \n
  • Experience with Pipelines, Dataflows Gen2, Lakehouse, Notebooks in Fabric.
  • \n
  • Understanding of data modeling, data warehousing, and semantic layer design.
  • \n
  • Working knowledge of DevOps practices, Git, CI/CD pipelines.
  • \n
  • Experience in data governance, Purview, lineage, and metadata management.
  • \n
  • Strong understanding of security: RBAC, Key Vault, encryption, PII handling.
  • \n
\n


\n

Good to Have Skills:

\n


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


\n

Minimum Qualification:

\n

15 years of Full Time Education

\n


\n

Interested candidates kindly share your updated resume to [email protected] along with filling the following details to maximize your chances of getting calls from TCS. The details are as follows:

\n


\n

Section 1: Basic Details:

\n
    \n
  • Candidate Name:
  • \n
  • Email ID:
  • \n
  • Phone Number:
  • \n
  • Current Location (City):
  • \n
  • Preferred Location (City):
  • \n
\n


\n

Section 2: Educational Details:

\n
    \n
  • Highest Regular Full‑Time Qualification
  • \n
  • (Diploma / Graduation / Post Graduation / Others)
  • \n
  • 10th Completion Year
  • \n
  • 12th / Intermediate Completion Year
  • \n
  • Graduation Completion Year
  • \n
  • Post‑Graduation Completion Year (if applicable)
  • \n
\n


\n

Section 3: Work Experience:

\n
    \n
  • Current Company Name
  • \n
  • Total Experience (in years)
  • \n
  • Number of Companies Worked
  • \n
  • Employment Timeline
  • \n
  • (Example: Company A – 2021 to Present, Company B – 2019 to 2021)
  • \n
\n


\n

Section 4: Compensation Details:

\n


\n
    \n
  • Current CTC (in LPA)
  • \n
  • Expected CTC (in LPA)
  • \n
  • Notice Period
  • \n
  • (Immediate / 15 Days / 30 Days / 60+ Days)
  • \n
\n


\n

Section 5: Documentation & Compliance (Yes / No):

\n


\n
    \n
  • Valid ID Proof Available (Aadhar & Pan Card): (Yes/No)
  • \n
  • Educational Documents Available: (Yes/No)
  • \n
  • Employment Documents Available: (Yes/No)
  • \n
  • UAN Number Available: (Yes/No)
  • \n
\n

Sign up for Job Alerts