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Data Engineer Cloud H/F

Il y a 2 mois

Paris, Île-de-France Business & Decision Temps plein

Description du poste

Nous recherchons un Data Engineer Cloud H/F pour rejoindre notre équipe de Business & Decision

Mission

Votre mission sera la suivante :

** De la collecte des données à la mise en production, en passant par leur contrôle, stockage, traitement et modélisation **

• Concevoir, implémenter et optimiser les modèles visant à stocker et traiter les données

• Contrôler et évaluer la qualité des modèles

• Implémenter, optimiser et maintenir des algorithmes de traitement de données distribués (Scala, Spark, Java)

• Déployer et industrialiser les pipelines de collecte, d'ingestion et de stockage de données

• Surveiller et assurer le bon fonctionnement des pipelines en production

• Définir les bonnes pratiques de développement en implémentant des outils de CI/CD

• Assurer une veille technologique sur les technologies Big Data et Cloud Data Platform

• Participer à la définition, conception et/ou évolution de l'architecture, en intégrant de nouveaux composants (frameworks, bibliothèques,...) permettant de mieux répondre aux besoins

Qualifications

Les qualités requises pour réussir dans ce rôle :

• Une expérience significative de plus de 3 ans en tant que Data engineer

• Une bonne connaissance de l'écosystème hadoop et technologies Big Data (Hadoop/Cloudera, Spark, Kafka, ELK, NoSQL)

• Une première expérience sur l'un des cloud provider (AWS, Azure, GCP)

• Une bonne maitrise de langages de programmation tels que SQL, Python, Java, Scala

• Une appétence sur les pratiques Devops (Git, Jenkins, Ansible, Docker, Terraform, Kubernetes)

Informations complémentaires

Pourquoi rejoindre Business & Decision?

• Parce que nous avons tout un dispositif d'accompagnement de nos collaborateurs en termes d'intégration, plan de formation, plan de carrières/évolution et bien-être au travail

• Parce que vous pourrez bénéficier de certifications grâce à nos hauts niveaux de partenariats éditeurs

• Parce que notre cœur de métier historique a été, est, et restera la DATA au sens large

• Parce que vous voulez collaborer dans une équipe de #DataGeek en quête de projets innovants et vous frotter à nos experts