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Data Modeler

Job Description - Data Modeler

Description

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



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



Qualifications

  • 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



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