Role Description
Configure/maintain/apply security patches to the infrastructure on which the data platform is based, ensure the deployment and the CI/CD of the data or ML delivery. Monitor the performance of the data pipeline and/or the ML models.
Key Objectives
- Implement and configure the tools needed to access our data and manipulate it
- apply security patches to the different infrastructural components
- Work with the Data Architect to ensure development is aligned with the target architecture.
- Develop and deploy the delivery pipelines involved in the Data Platform.
- Operationalize the ML models within the Data Platform.
- Maintain and monitor the different environments for each country.
Main Responsibilities
- Maintain an agile mindset every day.
- Interact with security, networking and platform teams to have a secure infrastructure and guarantee a stable environment to the stakeholders
- deployment of the pipeline to ensure high quality and efficiency of the release process and also in the productive environment.
- They work closely with the Data Architect to monitor the target architecture.
- Communicate with Scrum Master to escalate impediments or improvement for the wagon.
- They work closely with the data scientist to operationalize the ML models within the Data Platform.
- They work closely with the Product Owner and Scrum Master to execute the task assigned to achieve the goal of the wagon.
- You will participate in team and train ceremonies: PI planning, Sprint planning, Retrospectives, Daily scrum or stand up meetings.
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