Data Modeler

19 hours ago


Chennai, Tamil Nadu, India hirezy Full time ₹ 5,00,000 - ₹ 25,00,000 per year

About the Role :

- We are looking for an experienced Data Modeler to design and implement robust data models that support enterprise analytics, data warehousing, and business intelligence solutions. The ideal candidate will have a strong understanding of data architecture, modeling techniques, and best practices for scalable data systems.

Key Responsibilities :

- Design and maintain conceptual, logical, and physical data models to support business intelligence and analytics needs.

- Collaborate with data engineers, analysts, and architects to ensure consistent and optimized data structures.

- Develop and maintain data marts, data warehouses, and semantic layers.

- Translate business requirements into scalable, maintainable data models.

- Define and enforce data modeling standards, naming conventions, and governance.

- Optimize data models for performance, scalability, and reusability.

- Work closely with ETL teams to ensure data integrity and efficient data flow.

- Conduct data profiling, lineage, and impact analysis for model changes.

- Participate in architectural discussions and contribute to overall data strategy.

Required Skills :

- Strong experience in Data Modeling for enterprise data warehouse (EDW) and data mart environments.

- In-depth understanding of data warehousing concepts, dimensional modeling (Kimball/Inmon), and metadata management.

- Expertise in data modeling tools such as Erwin, PowerDesigner, or ER/Studio.

- Proficiency with SQL and experience with major RDBMS platforms (e.g., Oracle, SQL Server,

PostgreSQL, Snowflake).

- Good understanding of ETL/ELT processes, data pipelines, and data integration frameworks.

- Ability to document and communicate complex data structures effectively.

- Strong analytical and problem-solving skills.

- Excellent communication skills with the ability to collaborate across teams.

Preferred Qualifications :

- Bachelors or Masters degree in Computer Science, Information Systems, or related field.

- Experience with cloud-based data warehouses (AWS Redshift, Snowflake, BigQuery, etc.).

- Knowledge of data governance, data cataloging, and data quality frameworks.

- Familiarity with agile delivery models and DevOps tools.


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