Azure Data Engineer

Tata Consultancy Services • IT Consulting & Digital Transformation • IT Outsourcing & Dedicated Teams • Bachelor's Degree • Python • Scala • ETL/ELT • Azure Data Factory • 5 hours ago
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Salary
≈ $22k – $45k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 6+ years exp

Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Oct 20, 2026.

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Tata Consultancy Services

Tata Consultancy Services (TCS) is a global leader in IT services, consulting, and digital business solutions operating as the flagship tech subsidiary of the Tata Group. Headquartered in Mumbai, India, the company delivers end-to-end capabilities spanning cloud computing, enterprise platforms, cybersecurity, and artificial intelligence to major global enterprises. Employing over 500,000 professionals across dozens of countries, it stands as one of the world's largest IT outsourcing and technology transformation partners.
tcs.com • HQ: Mumbai, India • Management Consulting • Systems Integrators • IT Consulting & Digital Transformation • IT Outsourcing & Dedicated Teams • Est. 1968
Tech stack of Tata Consultancy Services

Role: Developer. Skills: Azure, Python. Experience: 6 - 10 Years. Qualification: Bachelor Of Engineering

Greetings from TCS!!

Walkin with TCS for Azure Data Engineer role

Exp: 6 to 10 years

Interview Mode: Walkin

Interview Venue: Tata Consultancy Services , Bhuwalkha - Bangalore

Interview Date: 11 Jul (Sat)

Job Description:

  • Expertise in PySpark, Python andDatabricks
  • Strong proficiency in Azure

    services: Data Factory, Synapse, Data Lake, Databricks.

  • Hands-on experience with ETL tools

    and data pipeline orchestration.

  • Proficiency in Python or Scala for

    data processing.

  • Familiarity with data modeling and

    data warehousing concepts.

  • Good hands on experience on Python,

    Numpy , pandas.

  • Experience in building ETL/ Data

    Warehouse transformation process.

  • Experience working with structured

    and unstructured data.

  • Developing Big Data and non-Big

    Data cloud-based enterprise solutions in PySpark and SparkSQL and related

    frameworks/libraries,

  • Integrating end to end data

    pipelines to take data from data source to target data repositories ensuring

    the quality and consistency of data,

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