Data Modeling

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.

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.

Technical and Professional Requirements

Good to have skills:

SQL, Data Warehousing, ETL Concepts, Data Governance, Metadata Management

Preferred Skills

• Data Modeling

Educational Requirements

MCA,MSc,MTech,Bachelor of Engineering,BTech