Product Data Engineer
4 days ago
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.
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