Product Data Engineer II
Summary
Designs and builds data pipelines, warehouses, and ETL workflows in AWS to support analytics and reporting for a product team.
Education (Ideal or Preferred)
- A relevant tertiary qualification in Information Technology or Data Analysis
- Certification in Data Warehousing
Knowledge and Experience
- At least 4 years of proven experience within management information systems (MIS) | data warehousing | data transformation/ systems analysis together with a relevant 3-year tertiary qualification
- At least 4-6 years of proven experience in management information systems/system analysis
- A relational data warehouse e.g. SQL server, Oracle etc., and tools that enable ETL and orchestration
- Testing methodologies
- Cloud Environment
- Experience working in an AWS environment as well as with AWS Technologies
- Data Analysis
- Orchestration technologies
Knowledge (Minimum)
- ETL processes
- Rational database system and cloud data warehousing
- Standards and governance
- Testing practices
- SQL
Knowledge (Ideal)
- Data architecture (technical design and implementation processes)
- DPLC
- Banking business model
- Best practices for Quality Assurance (QA)
Skills
- Analytical Skills
- Communications Skills
- Interpersonal & Relationship management 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.