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Salary
≈ $22k – $44k per year (Estimated)
Location
In office (Gurgaon)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Oct 22, 2026. First seen by Alion on Oct 21, 2026.

Overview
Company
Impact
Profile match
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.

Role: Developer. Skills: Data Modeling. Experience: 5 - 10 Years. Qualification: Bachelor Of Technology

Job Description - Data Modeler

Role: Data Modeler Experience: 5+ Years Location: Gurgaon

Primary Skill: Power BI Secondary Skills: SQL

Role Overview

We are seeking a highly skilled Data Modeler with expertise in Power BI and SQL to design, develop, and optimize enterprise data models that support reporting, analytics, and business intelligence initiatives. The ideal candidate should have hands-on experience in data modeling, database design, and data warehousing concepts, with the ability to translate business requirements into scalable data solutions.

Key Responsibilities

· Design and maintain conceptual, logical, and physical data models.

· Analyze business requirements and translate them into efficient data structures and data models.

· Develop and optimize data models for Power BI reporting and analytics solutions.

· Collaborate with business stakeholders, data engineers, and application teams to understand data requirements.

· Ensure data integrity, consistency, and quality across enterprise systems.

· Create and maintain data dictionaries, metadata repositories, and data lineage documentation.

· Develop and optimize SQL queries, views, stored procedures, and database objects.

· Support data warehousing initiatives including dimensional modeling, star schema, and snowflake schema design.

· Conduct impact analysis for changes to existing data structures and systems.

· Implement best practices for data governance, security, and performance optimization.

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