Job Description :

Role : Data Modeler (Individual Contributor)

Open Positions : 3

Experience : 5 - 12 Years (Minimum 5 Years Relevant)

Work Location : Preferred Hyderabad / Bangalore

Work Mode : Hybrid

Work Timing : 11 : 00 AM 8 : 00 PM IST

Interview Process : 2 Rounds (1 Internal Panel + 1 Client Round)

Interview Mode : Virtual

Job Overview :

We are seeking an experienced Data Modeler with strong expertise in designing data models across relational, dimensional, and NoSQL platforms. The ideal candidate will be responsible for developing scalable and efficient data models that support analytics, reporting, and enterprise data platforms.

This role requires strong knowledge of data modeling methodologies such as Data Vault and Dimensional Modeling, along with hands-on experience using industry-standard data modeling tools.

Required Skills :

Data Modeling Expertise :

- Strong experience designing data models for relational, dimensional, and NoSQL data platforms.

- Hands-on experience with Data Vault architecture.

- Expertise in Dimensional Modeling techniques (Star Schema / Snowflake Schema).

Data Modeling Tools :

- Hands-on experience with tools such as : Erwin ; ER/Studio

Data Analysis & Documentation :

- Experience with data profiling and data analysis.

- Development of data dictionaries and metadata management.

- Strong understanding of data governance and data architecture principles.

Preferred Skills :

- Exposure to modern data platforms and big data ecosystems.

- Understanding of data warehousing and analytics platforms.

- Experience collaborating with data engineering and analytics teams.

Soft Skills :

- Strong communication and presentation skills.

- Ability to clearly explain data structures and modeling concepts to both technical and non-technical stakeholders.

- Strong analytical and problem-solving abilities.

- Ability to work in cross-functional teams within Agile environments.

Key Responsibilities :

- Design and develop conceptual, logical, and physical data models for enterprise data platforms.

- Build and maintain relational, dimensional, and NoSQL data models.

- Implement Data Vault and dimensional modeling techniques to support analytics and reporting systems.

- Work closely with data architects, engineers, and business stakeholders to translate business requirements into scalable data models.

- Perform data profiling and analysis to understand data sources and ensure model accuracy.

- Develop and maintain data dictionaries, metadata, and documentation.

- Ensure data consistency, integrity, and governance across enterprise systems.

- Support data integration, reporting, and analytics initiatives through optimized modeling practices.

- Present data models and architecture solutions to both technical and business stakeholders.