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Data Modeler (5 to 15 yrs exp candidate)

Tata Consultancy Services

2 - 5 years

Bengaluru

Posted: 05/02/2026

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Job Description

TCS Hiring!!

Tcs is having virtual drive for skill Data Modeler on 29,30 & 31st Jan

Exp req:5 to 15 yrs


JD

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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