Product Data Engineer

About

Description

We appoint energized and motivated people for their potential and continuously look for talented, driven individuals to help us innovate and evolve. That is why we focus on finding the right people for the right jobs. We love what we do because we focus on making a positive difference for our clients and employees. Our company DNA is built around talented and committed teams dedicated to build a brand that we are proud of and earns the trust of our clients

Responsibilities

• Credit Digitisation broadly speaks to the transformation of our more traditional credit product offerings into that of an ease-of-use self-help experience via our client interaction channels; we use a data driven approach, putting our clients in control of a simplified experience in accessing credit
• In this role, you’ll help design and develop new applications and systems that support the business needs within our product environment
• You’ll work closely with business and technical teams to understand requirements and data, helping to improve how our products and systems function
• You’ll also have the opportunity to collaborate with solution architects, contributing ideas and input as we shape solution designs for both new and existing systems

Qualifications

• 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 Knowledge and Experience Minimum Experience: At least 4-6 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: A relational data warehouse e
• g
• SQL server, Oracle etc
• , and tools that enable ETL and orchestration
• Testing methodologies Experience working in an AWS environment as well as with AWS Technologies Mentorship Quality assuring work of others Ideal: Proven experience in: Data modelling Data Analysis Orchestration technologies Knowledge: Minimum: 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) Skills Analytical Skills Communications Skills Decision making skills Interpersonal & Relationship management Skills Problem solving skills Additional Information Clear criminal and credit record

Application instructions:

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