Data Modeling

About the job: Join a team where data is treated as a product and strong modeling is the foundation for trusted analytics and scalable platforms. In this role, you’ll translate business needs into clear, well-structured data models that make reporting faster, insights sharper, and downstream systems easier to maintain. You’ll collaborate closely with business stakeholders, data engineers, and BI teams to design models that balance usability, performance, and governance. If you enjoy bringing clarity to complex domains, documenting decisions, and building data structures that stand the test of time, this is a great opportunity to grow your impact while working in a supportive, collaborative environment. Technical Requirements: Good to have skills: SQL, Data Warehousing, ETL Concepts, Data Governance, Metadata Management Responsibilities: Key Responsibilities: • Gather and analyze business requirements to design robust conceptual, logical, and physical data models. • Create and maintain dimensional models using Star Schema to support analytics and reporting use cases. • Develop and refine logical data models with clear entities, relationships, and business definitions. • Produce physical models aligned to target platforms, considering performance, storage, and scalability needs. • Define keys, constraints, normalization/denormalization strategies, and data standards to ensure consistency and quality. • Partner with engineering and BI teams to validate models, resolve data issues, and support implementation handoffs. • Maintain documentation, data dictionaries, and model versioning to ensure traceability and reuse. • Participate in design reviews and contribute to best practices for enterprise data modeling and governance. Minimum Qualifications: • Education: BTECH, MTECH, MCA, MSC (or equivalent). • 3–5 years of experience in data modeling for analytics, reporting, or data platform initiatives. • Hands-on expertise in Star Schema, Logical Data Modeling, and Physical Modeling. • Strong understanding of relational concepts, entity-relationship modeling, and dimensional modeling principles. • Ability to translate business requirements into clear, implementable data structures and documentation. Preferred Skills: Technology->Database->Data Modeling