Job Expired
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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