Job Description

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.



To develop and maintain complete data architecture across several application platforms, provide capability across application platforms. To design, build, operationalise, secure and monitor data pipelines and data stores to applicable architecture, solution designs, standards, policies and governance requirements thus making data accessible for the evaluation and optimisation for downstream use case consumption. To execute data engineering duties according to standards, frameworks, and roadmaps.

Qualifications

• First Degree in Business Commerce, Information Studies or Information Technology
• SAS 9.4 or Viya 4 Administration Certification
• 5-7 Years experience in building databases, warehouses, reporting and data integration solutions, building and optimising big data data-pipelines, architectures and data sets, creating and integrating APIs, performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• 8-10 Years deep understanding of data pipelining and performance optimisation, data principles, how data fits in an organisation, including customers, products and transactional information.
• 8-10 Years experience in database programming languages including SQL, PL/SQL, SPARK and or appropriate data tooling, experience with data pipeline and workflow management tools

• Adopting Practical Approaches
• Articulating Information
• Checking Details
• Developing Expertise
• Documenting Facts

• Big Data Frameworks and Tools
• Data Engineering
• Data Integrity
• Data Quality
• IT Knowledge

Standard Bank