A leading consumer finance business providing innovative financial services with a reputation for being consumer driven is looking for a Data Engineer to join their winning team.
The incumbent will be responsible 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.
Great opportunity Apply Now!
Requirements:
- Degree in Information Technology or Computer Sciences
- 5-10 years commercial experience
- Designing data warehouses according to the Kimball methodology
- AWS
- SQL
- ETL
- SAS
- SAP
- Agile
- Data analytics
- Machine Learning
- Deep Learning
- AI
- Designing data warehouses according to the Kimball methodology
Responsibilities:
- Ensure highest data quality assurance, data accuracy and data completeness through regular and in-depth review and testing of work
- Create easily understandable technical documentation that are kept up to date
- Conduct data design, database architecture, metadata and repository creation activities and tasks as required by business stakeholder
- Translates business needs into long-term architecture solutions
- Define, design, and build dimensional databases
- Responsible for developing data warehousing blueprints, evaluating hardware and software platforms, and integrating systems
- Conducts data cleaning to rid the system of old, unused, or duplicate data
Reference Number for this position is NN53722 which is a permanent position based in Sandton offering a cost to company salary of up to R1.2m per annum negotiable on experience and ability. Contact Nigel on nigeln@e-merge.co.za or call him on 011 463 3633 to discuss this and other opportunities.
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