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Senior Engineer, Risk Data Solutions
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Overview Business Segment: Personal & Private Banking Location: ZA, GP, Johannesburg, 30 Baker Street As a Risk Data Solution Engineer, you will be a foundational builder of our next-generation risk data ecosystem. You will design, develop, and maintain the scalable data pipelines and solutions that power all risk analytics and decision-making across the PPB risk function. Working with cutting-edge cloud technologies like Databricks and Denodo, you will be responsible for ensuring our data is reliable, governed, and accessible, directly enabling our data scientists, analysts, and risk managers to derive critical insights with speed and confidence. Qualifications Completed Matric Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field 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 #J-18808-Ljbffr