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
- 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
📌 MLOps Engineer (Andalucía)
🏢 Admiral Europe Tech
📍 Andalucía
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