Business Segment: Personal & Private Banking
To develop and maintain complete data architecture across several application platforms, provide capability across application platforms. To design, build, operationalise, secure and monitor data pipelines and data stores to applicable architecture, solution designs, standards, policies and governance requirements thus making data accessible for the evaluation and optimisation for downstream use case consumption. To execute data engineering duties according to standards, frameworks, and roadmaps.
Qualifications Minimum Qualifications Type of Qualification: First Degree
Field of Study: Business Commerce
Type of Qualification: First Degree
Field of Study: Information Studies
Type of Qualification: First Degree
Field of Study: Information Technology
Experience Required 5-7 years: Experience in building databases, warehouses, reporting and data integration solutions. Experience building and optimising 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.8-10 years: Deep understanding of data pipelining and performance optimisation, data principles, how data fits in an organisation, including customers, products and transactional information. Knowledge of integration patterns, styles, protocols and systems theory.8-10 years: Experience in database programming languages including SQL, PL/SQL, SPARK and or appropriate data tooling. Experience with data pipeline and workflow management tools.Please note: All our recruitment processes comply with the applicable local laws and regulations. We will never ask for money or any form of payment as part of our recruitment process. If you experience this, please contact our Fraud line on +27 800222050 or ******.
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