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Salary
$47k – $55k per year
Location
In office (Lyon)
Seniority
Senior · 4+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
ALTEN is a French engineering and technology consultancy founded in 1988 that supplies project engineers to companies developing complex products and systems. Its consultants work inside client organisations across automotive, aerospace, defence, rail, energy, telecommunications, life sciences and finance, covering embedded software, mechanical and electrical design, simulation, testing, certification and information systems. Listed on Euronext Paris and headquartered in Boulogne-Billancourt, the group employs tens of thousands of engineers across more than thirty countries and has grown through a long sequence of acquisitions of specialist engineering firms.

Leader de l’Ingénierie et des IT Services, présent dans plus de 30 pays, le groupe ALTEN accompagne la stratégie de développement de ses clients dans les domaines de l’innovation, de la R&D et des systèmes d'information technologiques.

Plus qu’un poste, découvrez l’aventure qui vous attend au sein d’une entreprise engagée.

Pour renforcer son pôle Data, la Direction des Systèmes d'Information du groupe ALTEN recrute un Data Engineer spécialisé en Databricks, sous la responsabilité du Responsable Data & Analytics.

Missions principales

  • Concevoir et développer des pipelines de données sur Databricks en utilisant PySpark et SQL.

  • Optimiser la performance des flux de données et assurer leur fiabilité.

  • Participer à l’implémentation et à l’industrialisation des solutions de traitement de données.

  • Contribuer à l’amélioration continue des architectures data et des bonnes pratiques.

  • Assurer la documentation et le suivi des développements réalisés.

Formation / Expérience

  • Diplômé(e) d’une école d’ingénieurs ou titulaire d’un Master (Bac+5) en Informatique, Big Data ou domaine équivalent.
  • Minimum 3/4 ans d’expérience en Data Engineering et/ou dans le secteur de la Data & Analytics.

Compétences techniques

  • Maîtrise de Databricks et PySpark.

  • Compétences solides en SQL et en modélisation de données.

  • Expérience avec les solutions Cloud (Azure, AWS ou GCP).

  • Connaissance des architectures Data Lake et Data Warehouse.

Qualités personnelles

  • Esprit analytique et rigoureux.

  • Capacité à travailler en équipe et en mode agile.

  • Autonomie et prise d’initiative.

  • Bonne communication et capacité d’adaptation.

Langues et mobilité

Maîtrise professionnelle du français et de l’anglais (écrit et oral).

Et maintenant ?

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