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.

Responsibilities:

• 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
• Create easily understandable technical documentation that are kept up to date
• 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

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, 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.
• Expert knowledge of complex IT
• 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 NG59281 which is a Remote, Contract position, offering a rate of R500 to R700 per hour, 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.

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