beneficial (Workbench related knowledge of new development/enhancements) Setting up the organization structure qualifications DevOps (operations, configuration/development) experience in commercial and/or retail end user
Experience 10 Years Business Analysis in software development or IT environment Bachelor's degree in Information project management methodologies and software development lifecycle Ability to collaborate effectively
Experience 3 Years Business Analysis in software development or IT environment Bachelor's degree in Information project management methodologies and software development lifecycle Ability to collaborate effectively
specifications for developer resources to build Experience in designing and developing new solutions in
Delivery Management – Conduct risk assessments and develop contingency plans to mitigate potential challenges oriented/ focused on Customer first Innovative, well-developed problem solving and decision making skills Stakeholder
communicating results and achievements Identify development areas of each team member and deliver effective stakeholders Manage the overall behaviour of the team Developing the team through motivation, counselling, and
recommendations to address vulnerabilities; assist development teams with writing patches for discovered vulnerabilities; desktop, private/public cloud and application development teams with identifying and remediation of vulnerabilities
recommendations to address vulnerabilities; assist development teams with writing patches for discovered vulnerabilities; desktop, private/public cloud and application development teams with identifying and remediation of vulnerabilities
communicating results and achievements Identify development areas of each team member and deliver effective stakeholders Manage the overall behaviour of the team Developing the team through motivation, counselling, and
handling large datasets. Your role will involve developing data pipelines, ensuring data quality, and collaborating systems for extracting value from massive datasets. Develop and implement data pipelines for efficient data