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Data modeler - PAN INDIA

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Onsite

Data modeler - PAN INDIA

Tata Consultancy Services

Data modeler - PAN INDIA

Skills

SnowflakeData AnalysisMachine LearningAIMicrosoft Teams

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

31 August 2026

What they need


Greetings from Tata Consultancy Services (TCS)

What we are looking for: Data Modeler

Location : PAN INDIA

Interview Mode : Virtual mode (Microsoft Teams)

Experience : 8-15Years

  • Understand business processes, KPIs, regulatory requirements, and analytical use cases.
  • Collaborate with business stakeholders to identify entities, attributes, relationships, hierarchies, and business rules.
  • Translate business requirements into conceptual and logical data structures.
  • Participate in workshops, requirements gathering sessions, and data discovery activities.
  • Design and maintain:
  • Conceptual Data Models (CDM)
  • Logical Data Models (LDM)
  • Physical Data Models (PDM)
  • Build normalized (3NF) operational models and dimensional models (Star/Snowflake) for analytical environments.
  • Define:
  • Entities
  • Attributes
  • Relationships
  • Cardinality
  • Constraints
  • Keys (Primary, Foreign, Alternate, Natural, Surrogate)
  • Design canonical enterprise models and domain-specific models.
  • Develop data models supporting Data Products, MDM, AI/ML, and Regulatory Reporting initiatives.
  • Design Fact-Dimension architecture.
  • Define grain, hierarchies, slowly changing dimensions (SCD), aggregation strategies, and historical data management.
  • Support enterprise reporting, BI, self-service analytics, and AI workloads.
  • Optimize structures for query performance and scalability.
  • Align models with enterprise data governance policies.
  • Maintain business metadata, technical metadata, and lineage information.
  • Support data catalog, glossary, and stewardship initiatives.
  • Ensure consistency across domains and systems.
  • Collaborate with Data Governance teams on standards and model reviews.
  • Work with Enterprise Architects and Solution Architects to ensure alignment with target-state architecture.

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