Data Engineer II
Summary
Design and build data pipelines, warehouses, and analytics systems in AWS for a fintech company, using SQL, Python, and ETL tools.
Qualifications
- A relevant tertiary qualification in Information Technology or Data Analysis
- A relevant tertiary qualification in Information Technology - Computer Science or Data Analysis (Ideal)
- At least 6 years proven experience within management 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
- SQL Server and / or business intelligence tools (SSIS, SSRS, SSAS)
- Data Warehousing
- Data Management Lifecycle
Knowledge
- Python and/or Open Source development tools
- Cloud Environment
- Experience working in an AWS environment as well as with AWS Technologies
- Participation in PBT Graduate Programme / Training / Skills Development, PBT Academy, e.g. Dat Engineering, BI Business Analysis, Data Modelling
- ETL processes
- Rational database system and cloud data warehousing
- Standards and governance
- Testing practices
- Data analysis and design
- Data architecture (technical design and implementation processes)
- Banking business model
- Best practices for Quality Assurance (QA)
Responsibilities
- To contribute to the design and development of new applications / systems to meet the business requirements of the Data and Analytics (D&A) environment.
- To analyse business or system requirements and data to enhance understanding of the D&A environment.
- To participate in and provide input to the Architect during the compilation of solution design documentation for new and existing D&A products and systems