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Data Modeler

Open 16d reposted 2× · 2 open copies

Summary

Designs and maintains data models for analytics and reporting, ensuring consistency and performance across large-scale platforms.

Role: Data Modeler

Location: Gurgaon/Bangalore (5 days mandatory work from office)

Type: Full-time

Experience: 7+ years

Key Responsibilities

  • Design and maintain conceptual, logical, and physical data models
  • Develop scalable dimensional for analytics and reporting
  • Collaborate with data architects and engineers to align models with platform and architectural standards
  • Translate business requirements into high-quality, reusable data structures
  • Ensure data consistency, integrity, and performance across data layers
  • Support impact analysis, data lineage, and metadata documentation

Must-Have Skills

  • 7+ years of experience in data modeling for large-scale data platforms
  • Strong expertise in dimensional modeling, normalized and denormalized designs
  • Good understanding of data architecture and ETL architecture
  • Advanced SQL skills and deep understanding of analytical query patterns
  • Experience working closely with data architects and engineering teams
  • Strong understanding of data warehousing and analytics use cases
  • Design and maintain conceptual, logical, and physical data models
  • Develop scalable dimensional for analytics and reporting
  • Collaborate with data architects and engineers to align models with platform and architectural standards
  • Translate business requirements into high-quality, reusable data structures
  • Ensure data consistency, integrity, and performance across data layers
  • Support impact analysis, data lineage, and metadata documentation
  • 7+ years of experience in data modeling for large-scale data platforms
  • Strong expertise in dimensional modeling, normalized and denormalized designs
  • Good understanding of data architecture and ETL architecture
  • Advanced SQL skills and deep understanding of analytical query patterns
  • Experience working closely with data architects and engineering teams
  • Strong understanding of data warehousing and analytics use cases

See also

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