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 :
Qualification:
- Completed Matric
- Bachelors 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)
Remote Work :
No
Employment Type :
Full-time
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 clo...
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 :
Qualification:
- Completed Matric
- Bachelors 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)
Remote Work :
No
Employment Type :
Full-time
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