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Posted 30 August, 2026

Data Modeler

Tata Consultancy Services
500001, TG, IN Full Time
Reference: cdd1f260c0fbb224

Job Description

Greetings from TCS!!!

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TCS is hiring Data Modelers

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Location – PAN India

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Experience – 4-15 years

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Job Title: Data Modeler / Lead

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Job Summary: An experienced Data Modeler / Lead to design, develop, and maintain data models that support business intelligence and data analytics initiatives. The ideal candidate should have a strong background in data modeling, data warehousing, and data governance.

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Responsibilities:

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• Data Modeling: Design, develop, and maintain conceptual, logical, and physical data models.

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• Data Warehousing: Work with data architects and business stakeholders to design and implement data warehousing solutions.

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• Data Governance: Develop and maintain data governance policies, procedures, and standards.

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• Data modeling techniques for data warehouses primarily include dimensional modeling (star, snowflake schemas) and relational modeling (3NF)

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• Collaboration: Work with cross-functional teams to identify and prioritize project requirements, provide technical guidance, and ensure data quality.

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• Data Quality: Develop and implement data quality checks and data validation rules.

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Required Skills:

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• Data Modeling: In-depth knowledge of data modeling concepts, including entity relationship modeling, dimensional modeling, and data vault modeling.

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• Data Warehousing: Strong understanding of data warehousing concepts, including ETL, data marts, and data lakes.

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• Data Governance: Familiarity with data governance frameworks, including data quality, data security, and data compliance.

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• Communication: Excellent communication and collaboration skills.

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• Tools: Proficiency in data modeling tools, such as ERwin, Informatica PowerDesigner, or IBM InfoSphere Data Architect.

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Preferred Skills:

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• Certifications: Relevant certifications, such as Certified Data Modeler (CDM) or Certified Data Warehouse Architect (CDWA).

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• Big Data: Experience with big data technologies, such as Hadoop, Spark, or NoSQL databases.

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• Cloud Experience: Experience with cloud-based data platforms, such as AWS, Azure, or Google Cloud.

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• Programming: Experience with programming languages, including SQL, Python, or R

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