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Magellan

Open 57d

Data Engineer (M/F)

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Summary

Builds and maintains cloud-based data pipelines (GCP/AWS) to collect, process, and store data, ensuring quality and interoperability for data science/analytics teams.

Industrialising Data platforms (pipelines, ETL, quality, governance) on GCP or AWS cloud environments represents a structural workstream for data-driven organisations. This role targets a confirmed Data Engineer, capable of working in coordination with Data Scientists and Analysts teams.

YOUR MISSIONS

  • Design and develop robust data pipelines: collection, processing, storage.
  • Optimise data flows to improve efficiency and performance.
  • Manage SQL and NoSQL database infrastructures in a GCP or AWS Cloud environment following CI/CD principles.
  • Integrate data by developing ETL processes and ensuring interoperability between different systems and sources.
  • Guarantee data quality: implement quality and consistency checks, cleansing and validation processes.
  • Liaise with the entire Data team (Scientists and Analysts) to support and address business needs.

Skills

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See also

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