Data Modeller JD:
We are seeking a skilled Data Modeller to join our Corporate Banking team. The ideal candidate will have a strong background in creating data models for various banking services, including Current Account Savings Account (CASA), Loans, and Credit Services. This role involves collaborating with the Data Architect to define data model structures within a data mesh environment and coordinating with multiple departments to ensure cohesive data management practices.
Data Modelling:
- Design and develop data models for CASA, Loan, and Credit Services, ensuring they meet business requirements and compliance standards.
- Create conceptual, logical, and physical data models that support the bank's strategic objectives.
- Ensure data models are optimized for performance, security, and scalability to support business operations and analytics.
Collaboration with Data Architect:
- Work closely with the Data Architect to establish the overall data architecture strategy and framework.
- Contribute to the definition of data model structures within a data mesh environment.
Data Quality and Governance:
- Ensure data quality and integrity in the data models by implementing best practices in data governance.
- Assist in the establishment of data management policies and standards.
- Conduct regular data audits and reviews to ensure data accuracy and consistency across systems.
Data Modelling Tools: ERwin, IBM InfoSphere Data Architect, Oracle Data Modeler, Microsoft Visio, or similar tools.
Databases: SQL, Oracle, MySQL, MS SQL Server, PostgreSQL, Neo4j Graph
Data Warehousing Technologies: Snowflake, Teradata, or similar.
ETL Tools: Informatica, Talend, Apache NiFi, Microsoft SSIS, or similar.
Big Data Technologies: Hadoop, Spark (optional but preferred).
Technologies: Experience with data modelling on cloud platforms Microsoft Azure (Synapse, Data Factory)
Qualification
Data Modeller JD:
We are seeking a skilled Data Modeller to join our Corporate Banking team. The ideal candidate will have a strong background in creating data models for various banking services, including Current Account Savings Account (CASA), Loans, and Credit Services. This role involves collaborating with the Data Architect to define data model structures within a data mesh environment and coordinating with multiple departments to ensure cohesive data management practices.
Data Modelling:
- Design and develop data models for CASA, Loan, and Credit Services, ensuring they meet business requirements and compliance standards.
- Create conceptual, logical, and physical data models that support the bank's strategic objectives.
- Ensure data models are optimized for performance, security, and scalability to support business operations and analytics.
Collaboration with Data Architect:
- Work closely with the Data Architect to establish the overall data architecture strategy and framework.
- Contribute to the definition of data model structures within a data mesh environment.
Data Quality and Governance:
- Ensure data quality and integrity in the data models by implementing best practices in data governance.
- Assist in the establishment of data management policies and standards.
- Conduct regular data audits and reviews to ensure data accuracy and consistency across systems.
Data Modelling Tools: ERwin, IBM InfoSphere Data Architect, Oracle Data Modeler, Microsoft Visio, or similar tools.
Databases: SQL, Oracle, MySQL, MS SQL Server, PostgreSQL, Neo4j Graph
Data Warehousing Technologies: Snowflake, Teradata, or similar.
ETL Tools: Informatica, Talend, Apache NiFi, Microsoft SSIS, or similar.
Big Data Technologies: Hadoop, Spark (optional but preferred).
Technologies: Experience with data modelling on cloud platforms Microsoft Azure (Synapse, Data Factory)