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Data Modeler

Tata Consultancy Services

4 - 15 years

Hyderabad

Posted: 29/01/2026

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Job Description

Greetings from TCS!!!

TCS is hiring Data Modelers

Location PAN India

Experience 4-15 years

Job Title: Data Modeler / Lead


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.


Responsibilities:

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

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

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

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

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

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


Required Skills:

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

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

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

Communication: Excellent communication and collaboration skills.

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


Preferred Skills:

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

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

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

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

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