(671) Data Engineer needed at South African Reserve Bank

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Job title : (671) Data Engineer

Job Location : Gauteng, Pretoria

Deadline : November 08, 2024

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Detailed description

The successful candidate will be responsible for the following key performance areas:

  • Design and implement data strategies and systems in collaboration with BSTD and business subject matter experts to create and maintain data architecture that drives various FinSurv initiatives.
  • Build infrastructure to automate high volumes of data and creatively solve data volumes and scaling challenges.
  • Work with team members and other stakeholders to contribute to the design and architecture of innovative solutions to complex problems.
  • Collaborate with BSTD to build optimal data extraction, transformation and loading from a wide variety of data sources using big data technologies.
  • Assemble large, complex data sets to meet functional and non-functional business requirements.
  • Identify, design and implement business process improvements by automating manual processes, optimising data delivery and redesigning infrastructure for greater scalability.
  • Provide technical support to the Advanced Analytics Specialist during the design, development and implementation of self-learning applications (artificial intelligence and machine learning).
  • Search and select appropriate data sets to run tests, ensuring algorithms generate accurate user recommendations.
  • Keep abreast of developments in the industry regarding data engineering practices.

Qualifications

To be considered for this position, candidates must be in possession of:

  • a Bachelor’s degree (NQF 7) in Computer Science, Management Information Systems, Computer Engineering or an equivalent qualification;
  • five to eight years’ experience in the data engineering field;
  • five years’ experience working with relational databases and query authoring (SQL);
  • three to five years’ experience building analytics tools using data pipelines; and
  • experience with Microsoft Power BI, Tableau, SAS and OBIEE.

The following would be an added advantage:

  • programming experience with natural language processing in R, Python and so forth; and 
  • relevant programming or data querying certification.

Additional requirements include:

  • knowledge and skill in:
  • industry, organisational and business awareness;
  • data warehousing and reporting solutions;
  • SQL;
  • Microsoft Power BI;
  • databases and relational databases;
  • data engineering;
  • data lakes; 
  • data pipelines;
  • Informatica;
  • Teradata;
  • SAS;
  • performance metrics
  • analytical and problem-solving skills;
  • effective communication skills;
  • planning and organisational skills;
  • service and stakeholder focus;
  • conceptual thinking skills;
  • innovation and creativity; and
  • a drive for results.

How to Apply for this Offer

Interested and Qualified candidates should Click here to Apply Now

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