Lead Data Modeller

Coforge; Pune District; Hybrid; INR 3,500,000 - 4,500,000; Full time

Job summary

Coforge is seeking an experienced Data Modeler to design, develop, and maintain enterprise-level data models that support BI, analytics, and applications. The candidate should excel in data modeling, BigQuery, GCP, and Airflow, with 10–15 years of hands-on experience.

The role involves crafting conceptual/logical/physical models, collaborating with cross-functional teams, and ensuring data quality and governance across data warehouses and reporting initiatives.

Qualifications

• Experience designing conceptual, logical, and physical data models for BI and analytics.
• Strong expertise with BigQuery, GCP, and Airflow.
• 10–15 years of hands-on data modeling experience.

Responsibilities

• Design and develop conceptual, logical, and physical data models.
• Analyze business requirements and translate them into effective data structures.
• Create and maintain data dictionaries, metadata, and data lineage documentation.
• Collaborate with Data Architects, Business Analysts, and Development teams.
• Support data warehouse and reporting initiatives.
• Ensure data quality, consistency, and governance standards.
• Optimize database performance through efficient schema design.
• Review and enhance existing data models for scalability and performance.

Skills

Data modeling

BigQuery

GCP

Airflow

Job description

Role & responsibilities

Position: Data Modeler
Experience: 10-15Years
Location: Pune / Hyderabad / Bangalore (Hybrid)
Company: Coforge

Job Summary

We are seeking an experienced Data Modeler to design, develop, and maintain enterprise-level data models that support business intelligence, analytics, and application development initiatives. The ideal candidate should have strong expertise in data modeling, Bigquery, GCP, Airflow

Key Responsibilities

• Design and develop conceptual, logical, and physical data models.
• Analyze business requirements and translate them into effective data structures.
• Create and maintain data dictionaries, metadata, and data lineage documentation.
• Collaborate with Data Architects, Business Analysts, and Development teams.
• Support data warehouse and reporting initiatives.
• Ensure data quality, consistency, and governance standards.
• Optimize database performance through efficient schema design.
• Review and enhance existing data models for scalability and performance.