Assistant Vice President
Posted Updated
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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 for Internal Candidates |
- 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 for Internal Candidates |
- 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
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
Bachelor's or Master's degree in Computer Science, Data Science, or a related field. 7+ years of experience in data modelling or data analysis.