To design, code, verify, test, document, amend, and secure data pipelines and data stores according to agreed architecture, solution designs, standards, policies and governance requirements. To monitor and report on own progress and proactively identify issues related to data engineering activities. To collaborate in reviews of work with others where appropriate.
Qualifications
Completed Matric
Information Studies Degree
Information Technology Degree
Experience
5-7 years' experience understanding of data pipelining and performance optimization, data principles, how data fits in an organization, including customers, products and transactional information. Knowledge of integration patterns, styles, protocols and systems theory
5-7 years' experience in building databases, warehouses, reporting and data integration solutions. Building and optimizing big data data-pipelines, architectures and data sets. Experience in creating and integrating APIs. Experience performing root cause analysis on internal and external
data and processes to answer specific business questions and identify opportunities for improvement.
5-7 years' experience in database programming languages including SQL, PL/SQL, SPARK and or appropriate data tooling. Experience with data pipeline and workflow management tools
Additional Information
Behavioural Competencies
Adopting Practical Approaches
Articulating Information
Checking Things
Developing Expertise
Documenting Facts
Technical Competencies
Big Data Frameworks and Tools
Data Engineering
Data Integrity
IT Knowledge
Stakeholder Management (IT)
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