Data Modeller

Job description

- Job 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. - 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. 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.