Data Engineer @ Engenious

6 days ago


Remote Kraków, Czech Republic Engenious Full time

Kluczowe kompetencje:

  • Bardzo dobra znajomość języka Python.
  • Doświadczenie z Databricks i Azure Machine Learning.
  • Umiejętność projektowania potoków danych (ETL/ELT).
  • Zrozumienie zasad CI/CD i ich zastosowania w środowiskach AI/ML.
  • Zdolność do współpracy w zespołach multidyscyplinarnych i komunikacji technicznej.

Poszukujemy doświadczonego Data Engineer z umiejętnościami DevOps, który będzie wspierać zespół Data Science w obszarze Finance. Główne zadanie to wdrażanie rozwiązań AI/ML, zaprojektowanych przez zespół, na docelowych środowiskach. Rola wymaga doskonałej znajomości narzędzi i technologii związanych z przetwarzaniem danych i uczeniem maszynowym, a także doświadczenia w pracy z platformami chmurowymi.


,[Wsparcie zespołu Data Science w przygotowywaniu danych i wdrażaniu rozwiązań AI/ML. , Projektowanie i implementacja potoków przetwarzania danych oraz środowisk wdrożeniowych. , Optymalizacja i automatyzacja procesów wdrożeniowych z użyciem DevOps. , Praca z platformą Databricks oraz środowiskiem Azure Machine Learning. , Zapewnienie stabilności, skalowalności i wydajności wdrażanych rozwiązań. ] Requirements: DevOps, Data science, ABB, AI, Databricks, Azure, Machine Learning, ETL, Python Additionally: Sport subscription, Training budget, Private healthcare, Flat structure, International projects.

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