Senior Data Engineer (Sas, Aws) – Johannesburg – R850K To R1.1Mil Per Annum

Details of the offer

Are you a Data Engineer with a passion for driving, designing and building 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. Our client in the retail industry seeks a high calibre candidate, apply now Responsibilities: Ensure highest data quality assurance, data accuracy and data completeness through regular and in-depth review and testing of work Conduct data design, database architecture, metadata and repository creation activities and tasks as required by business stakeholder. Translate business needs into long-term architecture solutions. Define, design and build dimensional databases. Design the ETL pipelines, Implement the ETL pipeline in a timely manner Responsible for developing data warehousing blueprints, evaluating hardware and software platforms and integrating systems. Utilise consistent data sources which result in one version of the truth Deliver on standard data marts that can be utilised for reporting and analysis which is well documented and understood by business users. Translate Meta data into explanatory reports and visuals for easy understanding to end user Experience and Qualification: 3-year IT related degree, Post graduate qualification (advantageous) 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. Experience within Retail, Financial Services and Logistics environments. Strong networks and knowledge of emerging trends across Data/Analytics (Big Data, Machine Learning, Deep Learning, AI) The Reference Number for this position is NG59966 which is a Permanent Hybrid position in Johannesburg offering a salary of R850k up to R1.1mil CTC salary negotiable based on experience. E-mail Nokuthula


Nominal Salary: To be agreed

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