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Data Engineer (H/F)
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Gentis

  • Boulevard de la Woluwe, Bruxelles, Belgium

Data Engineer (H/F)

Employment type Permanent
Remote eligibility Hybrid
Localisation Paris, France
About us

Gentis

Welcome to Gentis, the driving force behind tomorrow's STEM careers! We are more than just a recruitment agency, we are a team of industry-leading recruiters who are passionate about helping candidates reach their full potential.


Our mission is to create a more sustainable future by connecting the best talent with the most exciting opportunities. Our global reach, from Europe to North America, Africa, and the Middle East, puts us at the forefront of placing candidates in strategic technical roles, both temporary and permanent.


Are you looking to make a positive impact on the world? Do you want a rewarding career that challenges you and allows you to grow? If so, you've come to the right place. At Gentis, we transform careers into legends. Are you ready to start your next professional adventure?

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Pour le compte de mon client, cabinet de conseil qui s'investit dans le domaine de l'IA et le machine learning, je recherche un data engineer.


Missions :

  • Créer des pipelines de données performants et automatisés avec Apache Airflow pour orchestrer des projets dans les environnements cloud AWS et Azure.
  • Plonger dans la conception d’une architecture de données moderne, en plaçant la performance, la sécurité et la fiabilité au cœur des systèmes.
  • Établir des outils de surveillance innovants pour analyser les performances, détecter les anomalies et déclencher des alertes en cas de situations critiques.
  • Mettre en place des solutions de sécurisation, de monitoring, de sauvegarde et de gestion des charges pour garantir une infrastructure solide.
  • Rédiger une documentation claire et complète sur les pipelines, les flux de données et les schémas de base de données pour faciliter la compréhension et la maintenance.
  • Collaborer étroitement avec les équipes de data science pour intégrer harmonieusement données et modèles dans une approche MLOps.
  • Incorporer des bases de données telles que PostgreSQL et MongoDB dans les solutions architecturales, tout en veillant à respecter les exigences de performance et de disponibilité.

Profil recherché :

  • Expérience : minimum 5 ans sur des projets similaires.
  • Compétences Cloud : bonne connaissance des environnements AWS et Azure, idéalement avec Kubernetes.
  • Airflow : expérience significative avec Apache Airflow.
  • Bases de données : maîtrise des bases de données relationnelles et expérience avec MongoDB.
  • Communication : capacité à communiquer efficacement et à collaborer en équipe tout en étant autonome.
  • Méthodologies : bonne compréhension des méthodologies Agile et des pratiques DevOps.
  • Savoir-être : esprit d'équipe, rigueur, autonomie.

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Gentis
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Gentis

Data Engineer (H/F)

Permanent

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Data Engineer (H/F)

Permanent

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