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 working with cutting-edge cloud technologies within the AWS Cloud environment, 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
Qualification:
Completed Matric
Bachelor's degree in Computer Science, Engineering, Information Technology, or a related fiel
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
Additional Information
Behavioural Competencies:
Articulating Information
Checking Things
Examining Information
Interpreting Data
Managing Tasks
Team Working
Technical Competencies:
Big Data Frameworks and Tools
Data Engineering
Data Integrity
Data Quality
IT Knowledge
Stakeholder Management (IT)
Please note:
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