Data Engineer (AWS and Redshift)

at  eMerge IT Recruitment

A Group providing value conscious mass-marketing to customers in Southern Africa and leaders in providing innovative financial services have an opportunity for a data engineer who will take responsibility for driving, designing and building scalable ETL systems for a big data warehouse to implement robust and 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.

QUALIFICATIONS AND EXPERIENCE

• 3-year IT related degree Post graduate qualification (advantageous)
• 5+ years’ Experience and understanding in designing and developing data warehouses
• Adept at design and development of ETL processes
• SQL development experience
• SAS data studio and AWS experience
• Proficient in Python or R or willingness to learn
• Knowledge of technology and SDLC and Agile methodology
• Knowledge of retail industry data models
• Advanced knowledge of compliance and IT governance
• General SAS experience
  The Reference Number for this position is NG58178 which is a Permanent position based in Bedfordview, Johannesburg is offering a cost to company from R800k up to R1mil per annum, salary negotiable based on experience. E-mail Nokuthula on nokuthulaG@e-merge.co.za or call her for a chat on 011 463 3633 to discuss this and other opportunities.
  Are you ready for a change of scenery? e-Merge IT recruitment is a niche recruitment agency. We offer our candidates options so that we can successfully place the right people with the right companies, in the right roles. Check out the e-Merge IT website www.e-merge.co.za for more great positions.
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• Systematic solution design of the ETL and data pipeline in line with business user specifications
• Develop and implement ETL pipelines aligned to the approved solution design
• Ensure data governance and data quality assurance standards are upheld
• Conduct data design, database architecture, metadata and repository creation
• Translates business needs into long-term architecture solutions
• Define, design and build dimensional databases
• In-depth knowledge and experience of Retail SAP architecture
• Strong networks and knowledge of emerging trends across Data/Analytics (Big Data, Machine Learning, Deep Learning, AI)
• Responsible for developing data warehousing blueprints, evaluating hardware and
• Enhance and maintain our existing ETL frameworks in line with agreed design
• Ensure data is precise and is benchmarked and validated against financial records