- 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.

- Experience in data modeling for large-scale data platforms.

- Strong expertise in dimensional modeling, normalized and denormalized designs.

- Strong understanding of data warehousing and analytics use cases.