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A dynamic Retail and Consumer Finance Concern in Joburg seeks a highly technical Data Engineer whose core role will be to drive, design & build scalable ETL systems for a Big Data warehouse to implement robust & trustworthy data to support high performing ML algorithms, predictive models and support real-time data visualisation requirements across the organisation to enable self-help analytics.
Applicants must have a 3-year related IT related Degree – NQF Level 7, have 5-10 years’ work experience and understanding in designing and developing data warehouses according to the Kimball methodology. You must be adept at design and development of ETL processes. SQL development experience, preferably SAS data studio and AWS experience including in-depth knowledge and experience of Retail SAP architecture, implementation and operations.Systematic solution design of the ETL and data pipeline in line with business user specifications.Ensure data governance and data quality assurance standards are upheld. 5-10 Years’ experience and understanding in designing and developing data warehouses according to the Kimball methodology. Adept at design and development of ETL processes. SQL development experience, preferably SAS data studio and AWS experience The ability to ingest/output CSV, JSON and other flat file types and any related data sources. Proficient in Python or R or willingness to learn.In-depth knowledge and experience of Retail SAP architecture, implementation and operations. Strong networks and knowledge of emerging trends across Data/Analytics .Knowledge of retail industry data models.While we would really like to respond to every application, should you not be contacted for this position within 10 working days please consider your application unsuccessful.SA Citizens will be considered for this role. If you are not in the mentioned location of any of the jobs, please note your relocation plans in all applications for jobs and correspondence. Apply here
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