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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
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- Install our tools needed to access our data and manipulate it
- Implement and configure the tools applying the Companies guidelines
- Apply security patches to the different infrastructural components
- Analyze and apply if it’s possible the FinOps rules to the different infrastructural components for saving costs purposes
- Configure and maintain the different DBs engine we have on AWS (rds, redshift, postgres standalone installation) something like a DBA
- Work with the Data Architect to ensure development is aligned with the target architecture.
- Develop,
Deploy & Maintain the pipelines used in the Data Platform and the local accounts (CT, LO & AS).
- Operationalize the ML models within the Data Platform.
- Maintain and monitor the different environments for each country (CT, LO & AS)
- Configure networking rules on aws account (NACLs, Route table, security groups)
- Execute Disaster Recovery Test to ensure the data availability in case of Real Disaster
- Support the Developers and Architecture communities analyzing and fixing issue on the different layers on Data Foundation Train and local Teams (CT, LO & AS)
Main Responsibilities
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- 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 production environment.
- Work closely with the Data Architect to monitor the target architecture.
- Commun
📌 MLOps Engineer (Fuentes de Andalucía)
🏢 Admiral Europe Tech
📍 Fuentes de Andalucía
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