Description
Design, develop, and maintain enterprise data models (conceptual, logical, and physical) for banking applications.
Collaborate with business stakeholders, architects, and development teams to understand business requirements and translate them into scalable data models.
Ensure data quality, consistency, and adherence to enterprise data governance standards.
Optimize database design for performance, scalability, and maintainability.
Support data integration and data warehousing initiatives.

Responsibilities
Design, develop, and maintain enterprise data models (conceptual, logical, and physical) for banking applications.
Collaborate with business stakeholders, architects, and development teams to understand business requirements and translate them into scalable data models.
Ensure data quality, consistency, and adherence to enterprise data governance standards.
Optimize database design for performance, scalability,



and maintainability.
Support data integration and data warehousing initiatives.

Qualifications
10+ years of experience as a Data Modeler.
Robust experience in the Banking domain.
Hands-on experience with Oracle Database, including data modeling, schema design, and performance optimization.
Robust knowledge of SQL and database design principles.
Experience with data warehousing concepts and ETL processes.
Excellent analytical, problem-solving, and communication skills.

Preferred Skills
Experience in Anti-Money Laundering (AML) implementation projects is highly desirable.
Exposure to AWS Redshift and cloud-based data warehousing solutions is an added advantage.
Knowledge of banking regulatory and compliance data requirements is a plus.

📌 Data Modeller Pune (India)
🏢 EXL
📍 India