To apply computer science theories, principals to create, refactor moderate to complex programs/scripts, integration software services. To design complex specifications, code, test, debug, enhance programs within the Continuous delivery pipelines and provide support, maintenance of systems, programmes. To execute software developer responsibilities according to Engineer practice, standards, frameworks, roadmaps and the architects application standards. Participate in reviews of colleagues’ work.
Qualifications
- First Degree in Computer Science or Information Technology or Bachelor of Commerce as well as Microsoft DP-900 and or DP-203 certification
- Must know data warehousing and data modeling concepts
- At least 5 years’ hands-on Data Analysis and ETL experience using Microsoft data tools such as SSIS, Azure Data Factory, Azure Synapse Analytics Studio and or MS Data Fabrics
- Knowledge of dashboard development using PowerBI or Qliksense
- Knowledge of Data Analysis or Data Engineering in Financial Services sector
Additional Information
Behavioral Competencies:
- Adopting Practical Approaches
- Checking Details
- Developing Expertise
- Examining Information
- Interpreting Data
Technical Competencies:
- Agile Development
- Application Support
- Design Patterns
- DEVOPS
- Infrastructure as Code (IaC)
