Azure Data Engineer

Tata Consultancy Services • IT Consulting & Digital Transformation • IT Outsourcing & Dedicated Teams • Bachelor's Degree • Python • SQL • ETL/ELT • Azure Data Factory • 2 hours ago
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Salary
≈ $20k – $41k per year (Estimated)
Location
In office (Thiruvananthapuram)
Seniority
Senior · 5+ years exp

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

Overview
Company
Impact
Profile match

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, Big Data. Experience: 5 - 12 Years. Qualification: Bachelor Of Engineering

Desired Competencies

(Technical/Behavioral Competency)

Must-Have

·Strong hands-on

experience with Databricks (Delta Lake, Jobs, Workflows, Notebooks)

·Advanced Python for data

engineering (PySpark, data transformations, optimization)

·Apache Spark concepts -

batch & streaming processing

·Strong SQL skills for

analytics and data modelling

·Experience with Azure

Data Platform (ADLS Gen2, Azure Data Factory, Azure Synapse)

·Data Modelling

(Star/Snowflake), ETL/ELT pipeline design

·CI/CD, version control

(Git), and Agile delivery

Good-to-Have

  • Experience with Delta Live Tables,

    Unity Catalog

  • Streaming platforms (Event Hubs, Kafka)
  • Exposure to IoT / Manufacturing / Supply

    Chain data

  • Experience with data quality, data

    governance, and observability tools

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