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Data Engineer

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Summary

Data Engineer building and maintaining scalable ETL processes for large data volumes, optimizing storage/retrieval in Oracle relational databases, and running containerized apps on Kubernetes with GitOps-driven CI/CD pipelines, while collaborating with data scientists and analysts on data requirements.

About this vacancy

  • 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.

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See also

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