Product Data Engineer I
Stellenbosch, GT, ZA
Join Us in Becoming the Best Bank in the World!!
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.
Why Choose Us
At Capitec, we offer our best by living up to our CEO values in every situation – we always put the Client first, act with Energy and take Ownership. And to support people in being their best, our Employee Value Proposition offers every value to all team members through cohesive teams, growth opportunities as well as employee benefits and savings. We make it a priority to ensure that each member of the Capitec team feels welcome, valued, focused, and has the opportunity to grow.
Who We Are
We are a bank, but we’re much more than that. We believe that banking is about enabling people to control their financial lives through banking that is simplified, accessible, affordable and delivered through personal experience. By helping our clients manage their financial lives better, we enable them to live better.
Purpose Statement
- To contribute to the design and development of new applications / systems to meet the business requirements of the product line environment.
- To analyse 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.
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
Experience:
Minimum:
- At least 2 years’ proven experience within management information systems (MIS) | data warehousing | data transformation | together with a relevant 3 year tertiary qualification
OR
- At least 2 - 4 years’ proven experience within management information systems | data warehousing | data transformation
- Proven experience in:
- A relational data warehouse e.g. SQL Server, Oracle etc., and tools that enable ETL and orchestration.
Ideal:
- Proven experience in:
- Cloud Environment
- Experience working in an AWS environment as well as with AWS Technologies
Knowledge:
Minimum:
- IT systems development processes (SDLC)
- ETL processes
- Rational database system and cloud data warehousing
- Dimensional modelling
- Standards and governance
- Testing practices
Ideal:
- Data analysis and design
- Data architecture (technical design and implementation processes)
- DPLC
Skills
- Analytical Skills
- Communications Skills
- Computer Literacy (MS Word, MS Excel, MS Outlook)
- Problem solving skills
Additional Information
- Clear criminal and credit record
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Banking Data analysis Data warehouse Data Warehousing Engineering ETL Excel Oracle SDLC SQL Testing
Perks/benefits: Career development
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