Specialist include the proactive monitoring and maintenance of the entire SAP Landscape with key focus being being analysing and planning of SAP maintenance tasks and system change's together with the DevOps Operations/Technical (non-functional) projects/maintenance for the supported landscapes. Ensure projects/ maintenance are on-time, within resilience and performance. Ensure that all periodic maintenance is carried out to ensure the optimal performance with minimum downtime. Trouble shooting and maintenance: Responsible for troubleshooting and problem
analyse market trends with foresight and pro-actively build the required know-how. You work very closely with Responsible for maintenance and operations (Dev/Ops), in particular the maintenance of the integration Independent way of working. Troubleshooting and maintenance IT Security System Monitoring Incident and Request
Integrate automation testing at various stages of the build and deploy pipeline for development, regression feature teams to build up disposable test environments. Overall management and maintenance and preparation Python (Django) CI/CD: GitHub Version Control, Build and Deployment Pipelines using GitHub Actions Databases:
development tools, techniques and approaches used to build application solutions Working knowledge with software development tools, techniques and approaches used to build application solutions Cloud computing technologies Development) Key Skills (or equivalent): Building CLI Tools Building Python Libraries Python Unit Testing improvement - and passionately pursuing solutions. Building purpose and ownership - striving for meaning and
COMMENCEMENT: As soon as possible ROLE: Development and maintenance on platform/application Primary responsibility debugging and fault-finding Development and maintenance on platform / application Review code of team
possible ROLE: Data Engineers are responsible for building and maintaining Big Data Pipelines using GROUP working with REST API's is a bonus. Experience building data pipeline using AWS Glue or Data Pipeline Step Function Param Store Secrets Manager Code Build/Pipeline CloudFormation Business Intelligence (BI)
possible ROLE: Data Engineers are responsible for building and maintaining Big Data Pipelines using GROUP work independently and multi-task. Experience building data pipeline using AWS Glue or Data Pipeline Step Function Param Store Secrets Manager Code Build/Pipeline CloudFormation Business Intelligence (BI)
COMMENCEMENT: As soon as possible ROLE: Development and maintenance of platform/application Review and present the
soon as possible ROLE: Design, Development and maintenance on platform/application Develop systems solutions
As soon as possible Design, Development and maintenance on platform Develop systems solutions in line