Azure Data Engineer

Tata Consultancy Services • IT Consulting & Digital Transformation • IT Outsourcing & Dedicated Teams • Bachelor's Degree • Python • SQL • ETL/ELT • Azure Data Factory • 1 day 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 21, 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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