Job Description

Essentials

• Focusing on bank-wide data modeling and database design (Conceptual, Logical and Physical Design) using traditional and advance data approach.
• Having knowledge of any Industry reference model.(good to have)
• Defining data/information architecture standards, structure, attributes and nomenclature of data elements, and applies accepted data content standards to technology projects.
• Advising on consistent business analysis, data acquisition, and access analysis and design, Data Management Systems optimization, load strategy design and implementation, as well as data-related security and change management.
• Collaborating with Engineering and ETL teams on data model, its maintenance and optimization as well as end-to-end data driven integration strategy.
• Developing a metadata management and repository strategy to manage all enterprise information architecture project artifacts.
• Ensuring the to-be model is inclusive of integration of data across systems, collection, storage, processing, management, governance and analysis of data
• Experience with data modelling tools such as Erwin (mandatory), Magic Draw (good to have).
• Expertise in RDBMS , Warehouses , Bigdata ( Hive)