Senior Professional Officer - Data Visualisation Engineer at City of Cape Town

Requirements
The Data Science branch forms part of the Organisational
Performance.Management department in the Future Planning &
Resilience directorate, and is responsible for the City’s data science
initiatives. We are looking for a data visualisation engineer who is
comfortable working with open source front end technologies to
bring data concepts to life and is motivated to learn and acquire
knowledge.
The position will work on diverse data science initiatives across the
organisation, developing user facing data products that help
improve
the organisations strategic and operational decision-making. This is
an exciting opportunity to work with a highly-skilled and dynamic
team and make a difference to the lives of all residents in Cape
Town.

• A relevant qualification (BTech or first degree), preferably in computer science, web development, information systems or related field
• Minimum of five (5) years’ relevant experience

Key Performance Areas

• Front end Development: To design, write, and iterate data visualisation code from prototype to production-ready by using open source frontend technologies to bring data concepts to life
• Data Integration Design: To develop fit-for-purpose, resilient, scalable, and future-proof data services to meet user needs which include the design and development of programmatic functionalities (APIs)
• Testing: To plan, design, manage, execute, and report, tests relevant to user facing data products, using appropriate tools and techniques, working within testing regulations
• Maintain and Support: To ensure the data product is functioning optimally, i.e. debug detected errors, and troubleshoot issues
• Monitoring: To monitor the progress and success of data products by automatic monitoring
•  Project Collaboration: To collaborate with technical andnon-technical officials
• Research, Analysis and Innovation: To conduct research in various areas for the purpose of innovation, and with the intent of constantly, proactively improving the data products.