Remote Azure Data Engineer - Python & Django Data Migration

Capitole

País Vasco

Presencial

EUR 55.000 - 85.000

Jornada completa

Hace 6 días
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Ventajas ofrecidas por este puesto de trabajo

Private health insurance
Flexible working hours
€1200 training budget per year
Wellhub: fitness, wellness, and mental
Work permit processing for Spain

Descripción de la vacante

Capitole is seeking an Azure Data Engineer for an international project focused on data management and processing within an Azure-based environment. The role centers on adaptation and migration, replicating and adapting existing functionalities in a new backend environment.

Key tasks include data pipeline work, metadata management, and external service integrations, with strong emphasis on Python, Django, REST APIs, and cloud technologies.

Formación

  • Strong experience with Python 3.11+.
  • Solid Django and Django REST Framework experience.
  • Experience with MongoDB (Atlas preferred).
  • Experience designing and integrating REST APIs and external data services.
  • Data processing with pandas and NumPy.
  • Testing with pytest.
  • Experience with Git-based workflows, Jira and Confluence.
  • Experience working in Azure environments.

Responsabilidades

  • Adapt and migrate existing data management and processing capabilities into a new backend environment.
  • Work on the upload-to-analysis chain.
  • Implement metadata management and manipulation capabilities.
  • Work with data upload, retrieval and deletion processes and external service integrations.
  • Ensure the existing architecture patterns are correctly replicated and integrated.

Descripción del empleo

Capitole is seeking an Azure Data Engineer for an international project focused on data management and processing within an Azure-based environment. The role centers on adaptation and migration, replicating and adapting existing functionalities in a new backend environment.

Key tasks include data pipeline work, metadata management, and external service integrations, with strong emphasis on Python, Django, REST APIs, and cloud technologies.

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