- Develop and maintain scalable ETL processes to handle large volumes of data; - Collaborate with data scientists and analysts to understand data requirements and deliver high-quality solutions; - Optimize data storage and retrieval processes in relational databases, with a particular focus on Oracle; - Implement and manage containerized applications using Kubernetes to ensure efficient deployment and orchestration; - Apply GitOps principles to simplify code deployment and maintain CI/CD pipelines for continuous integration and delivery; - Resolve data-related issues and ensure its integrity and security.
📌 Data Engineer (Como)
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