Product Data Engineer Minimum Requirements: At least 6 years of 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 of proven experience in management information systems/system analysis Proven experience in: A relational data warehouse e.g.
SQL server, Oracle, etc., and tools that enable ETL and orchestration.
Testing methodologies Mentorship Quality assuring work of others Ideal: Proven experience in: Cloud Environment Experience working in an AWS environment as well as with AWS Technologies Data modeling Data Analysis Orchestration technologies Knowledge: IT systems development processes (SDLC) ETL processes Rational database system and cloud data warehousing Dimensional modelling Standards and governance Testing practices People leadership practices and principles Quality assurance practices and processes Ideal: Data architecture (technical design and implementation processes) DPLC Banking systems environment Banking business model Best practices for Quality Assurance (QA) Education (Minimum) A relevant tertiary qualification in Information Technology or Data Analysis Education (Ideal or Preferred) A relevant degree in Data Engineering Certification in Data Warehousing Skills Analytical Skills Communications Skills Decision-making skills Interpersonal & Relationship Management Skills Problem-solving skills Additional Information Clear criminal and credit record Responsibilities: To contribute to the design and development of new applications/systems to meet the business requirements of the product line environment.
To analyze business or system requirements and data to enhance understanding of the product line environment.
To participate in and provide input to the Architect during the compilation of solution design documentation for new and existing products and systems.