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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