methodology. Adept at design and development of ETL processes. SQL development experience, preferably SAS data
(CM) Problem Management (PM) IT Operations Process Controls Technical updates and version changes in the
predictive models Manage controls to enable risk monitoring Implement processes to ensure Bureau and Industry
with specific experience in systems data quality control and maintenance (e.g. Product lists etc). MS Excel
with PostgreSQL database Experience with version control systems (e.g., GitHub) Understanding of Agile methodologies
Node.js, Flutter, Cloud (Azure or AWS), Version control (Git, SVN, TFS), Bitbucket, Docker, AKS or EKS
Familiarity with RESTful APIs and Git version control Ability to turn complex technical challenges into
Familiarity with RESTful APIs and Git version control Ability to turn complex technical challenges into
learning models from and utilises distributed data processing and analysis methodologies. Competent in Machine the organisation's infrastructure development processes. Ensure business integration through integrating software engineering, financial services data processes, technical business intelligence. 5 - 7 years' Understanding of data flows, data architecture, ETL and processing of structured and unstructured data. Experience
modelling, ETL processes, and data warehousing Design, implement and maintain ETL processes for data extraction Participate and contribute to the architecture design process Participate in reports design and review proposed