qualification (with Computer Science / Computer Auditing / Information Systems / Auditing / Data Science as majors)
team Requirements: Degree in Engineering or Computer Science. Proficient in Python, Anaconda, TensorFlow/ PUB/SUB messaging services. Familiarity with Cloud computing principles and their impact on pipeline design
to cutting-edge technologies, including cloud computing and microservices, ensuring that you're part of mitigation strategies to ensure system reliability, availability, and security. 3-5 years Years DevOps and software industry. Bachelor's Degree (NQF level 7) in Computer Science, Engineering, or related field. Preferred relevant to the Fintech industry, such as cloud computing, microservices, APIs, and security best practices
costs are captured on CRS system for the DG (Learnerships and Apprenticeships, DG Bursaries, EiT, TiT onboarding requisite equipment/PPEE and textbooks are available Facilitate, the ordering of new PPE for all new Initiating and coordinating the QALA for SETA Learnerships together with learners Feedback/reporting to
costs are captured on CRS system for the DG (Learnerships and Apprenticeships, DG Bursaries, EiT, TiT onboarding requisite equipment/PPEE and textbooks are available Facilitate, the ordering of new PPE for all new Initiating and coordinating the QALA for SETA Learnerships together with learners Feedback/reporting to
industry best practices. Design and implement high availability, fault tolerance, and disaster recovery strategies resolve infrastructure issues, ensuring high availability and reliability of cloud services. Security Qualifications and Skills: Bachelor's degree in Computer Science, Engineering, or related field (or equivalent on AWS services. Solid understanding of cloud computing concepts and principles. Proficiency in AWS services concepts and protocols. Experience with serverless computing architectures.
future-looking decisions leveraging Big Data & Data Science. Winning disproportionately. Creating analytics assisted decision-making with machines (AI/Cognitive Computing/Machine Learning) unlocking the insights from Make data a true asset. Better data and data science access for every part of the business, across the architectures to support advanced analytics and data science. Strong analytic skills related to working with that lead to actions Gather data and build data science and algorithmic solutions to address business problems
representative who is immediately available Minimum Requirements Matric Computer literate Minimum two years in a technical environment Must be immediately available ie not currently working Duties will include Order
representative who is immediately available Minimum Requirements Matric Computer literate Minimum two years in a technical environment Must be immediately available ie not currently working Duties will include Order
The ideal candidate will have a degree in Computer Science or related fields Experience with agile environments