Platform Data Engineer

Purpose Statement

• To contribute to the design and development of new applications / systems to meet the business requirements of the data platform environment. 
• To analyse business or system requirements and build and enhance the data platforms.
• To participate in and provide input to the Architect during the compilation of solution design documentation for new and existing data platforms.        

Education (Minimum)

Education (Ideal or Preferred)

Knowledge and Experience

Minimum:

Experience:

• At least 6 years’ proven experience within management information systems (MIS) | data warehousing |  data transformation information systems / systems analysis together with a relevant 3 year tertiary qualification 

OR

• At least 6-8 years’ proven experience within management information systems / system analysis
• Proven experience in:
  • Working in a cloud environment.
  • Data storage and access technologies
  • Testing methodologies
  • Mentorship
  • Quality assuring work of others

Knowledge:

• IT systems development processes (SDLC)
• Data pipelines
• Rational database system and / or cloud data warehousing and / or big data frameworks 
• Dimensional modelling
• Standards and governance
• Testing practices 
• People leadership practices and principles
• Quality assurance practices and processes

Ideal:

Experience:

• Experience working in an AWS environment as well as with AWS Technologies and Azure
• Orchestration technologies
• Data modelling

Knowledge:

• Data architecture (technical design and implementation processes)
• Banking systems environment
• Banking business model
• Best practices for Quality Assurance (QA)  

Skills

Additional Information