Warehouse (ODWH) or EDL (Enterprise Data Lake) or model produced from the EDL using existing ERP/IP system data:
enterprise architecture frameworks and business process modeling. Strong understanding of network architecture Systems analysis and design UML or equivalent modelling language Technical Test Plan Design IT systems understanding of: Bank's systems environment Bank business model Best practices for Quality Assurance (QA) Object
enterprise architecture frameworks and business process modeling. Strong understanding of network architecture Systems analysis and design UML or equivalent modelling language Technical Test Plan Design IT systems understanding of: Bank's systems environment Bank business model Best practices for Quality Assurance (QA) Object
data-related solutions (Data Warehouse, Reports, Tabular Models, etc.) Pro-actively generate and implement process Documenting and refining technical requirements Data modeling requirements Source to target mappings and documentation
architecture frameworks and business process modelling. Strong understanding of network architecture Systems analysis and design UML or equivalent modelling language Technical Test Plan Design IT systems understanding of: Bank's systems environment Bank business model Best practices for Quality Assurance (QA) Object
Integrations, Automations, Data Management, Data Modeling. You will collaborate with the Business Intelligence various sources into an analytics-ready data model. This model will be built on the premise of growth as Leadership teams to develop a warehouse using data modeling best practices. Managing Integrations with other best practices and processes. Design agile data models. Implement meta-data driven ELT/ELT data pipelines actionable manner. Familiarity in data mapping, data modeling and data management Familiarity with Agile methodology
compatible software development MATLAB/Simulink/Coder model-based software development Please apply via our
maintain scalable data pipelines Optimise data models for ingestion and processing Implement and maintain foundation in Python, SQL Strong experience with data modelling, data governance and cloud infrastructure Knowledge
capture essential functional requirements.
solutions.
Designing and implementing predictive models to optimize customer segmentation, credit risk