Production Data Engineer

  • Full-time
  • Business Segment: Archived_01_Consumer & High Net Worth Clients

Company Description

Standard Bank Group is a leading Africa-focused financial services group, and an innovative player on the global stage, that offers a variety of career-enhancing opportunities – plus the chance to work alongside some of the sector’s most talented, motivated professionals. Our clients range from individuals, to businesses of all sizes, high net worth families and large multinational corporates and institutions. We’re passionate about creating growth in Africa. Bringing true, meaningful value to our clients and the communities we serve and creating a real sense of purpose for you.

Job Description

Liaise with various stakeholders to ensure specific applications are fully functional by providing oversight and support regarding daily operations and the future development and testing of the data processes.

Qualifications

Minimum Qualifications
Type of Qualification: Bachelor's Degree
Field of Study: Information Studies / IT and Computer Science
Other Minimum Qualifications, Certifications or Professional Memberships:

  • Programming skills (e.g. Windows and SQL in Microsoft SSIS/SSAS )
  • Knowledge of code packaging and deployments
  • 3-5+ years’ experience in a development/programming role with SQL exposure
  • Familiar with Building and Deploying from source repositories using GIT or similar
  • Control scheduling knowledge essential
  • Windows OS experience
  • Automation - Windows scripting
  • Pro-active health monitoring
  • Understanding of Software Development Life Cycle

Experience Required

3-4 Years previous experience in the movement of data from the relevant source (e.g. SAS libraries, SQL, manual files, etc.) into a data mart using appropriate tools (e.g., SQL tools).

Additional Information

Behavioural Competencies:

  • Developing Expertise
  • Team Working
  • Adopting Practical Approaches
  • Checking Details
  • Inviting feedback

Technical Competencies:

  • Development
  • Debugging
  • Refactoring
  • Use of Build Automation
  • Driving Delivery of Results

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