:

- 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 explicit 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

Key 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

Technical Requirements:

- Good to have skills
- SQL Data Warehousing ETL Concepts Data Governance Metadata Management

Additional Responsibilities:

- Preferred Qualifications
- Experience modeling for enterprise data warehouses lakes and supporting multiple downstream consumers BI analytics data science
- Proven ability to optimize models for performance and usability balancing normalization and denormalization trade offs
- Familiarity with data governance practices such as naming standards metadata management and stewardship collaboration
- Strong stakeholder communication skills including facilitating requirement workshops and presenting model designs
- Experience working in Agile delivery teams and contributing to iterative model evolution and change management

Preferred Skills:

Technology->Database->Data Modeling

📌 Data Modeling (Bengaluru)
🏢 Infosys
📍 Bengaluru