teams. They will collaborate with project stakeholders, such as project managers and architects, to make production follow-ups. Manage IT infrastructure projects and major changes, including user needs assessment clustering, replication, load balancing, and technical project management, especially within large corporate environments
Johannesburg Key Responsibilities: Collaborate within a project team, reporting to our IT Manager. Work closely non-functional requirements, ensuring adherence to project objectives. Organize and estimate development tasks technical feasibility. Identify and address technical project risks and issues, driving resolution activities
systems. Project Management: Ensure efficient planning, executing, controlling, and closing of projects to
with our dynamic team to identify and prioritize project requirements, develop high-quality software solutions solutions, and ensure timely delivery of projects. - Develop and maintain a deep understanding of the IT
Science, Information Technology, or a related field. Project management or Agile certification is advantageous prioritise development endeavours to ensure timely project completion. Take charge of software releases, collaborating and understanding. Provide regular updates on project advancements and milestones. Apply now For more
Assist senior engineers with project tasks and deliverables. Contribute to project tracking and monitoring to uphold timelines. Identify and help resolve project-related issues. Communicate effectively with team
improvements with effort estimations. Plan and monitor project progress, resolve issues, and take corrective actions applications. Manage dependencies and interfaces between project deliverables, and design and develop reporting
database platform (PaaS and IaaS). Project-Based ERP systems (large project accounting is a plus). Azure Data
us as a Data Scientist Dive into cutting-edge projects, analyze Big Data, and craft actionable insights extraction and analysis. Design, develop, and maintain projects using Big Data technologies. Utilize machine learning
us as a Data Scientist Dive into cutting-edge projects, analyze Big Data, and craft actionable insights extraction and analysis. Design, develop, and maintain projects using Big Data technologies. Utilize machine learning