Senior Data Engineer (SAS, AWS) – Johannesburg – R850k to R1.1mil per annum

SUMMARY:
Senior Data Engineer (SAS, AWS) – Johannesburg – R850k to R1.1mil per annum

POSITION INFO:

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 on nokuthulag@ e-Merge.co.za or call her for a chat on to discuss this and other opportunities.

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