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