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Senior Data Engineer

Il y a 3 mois

Paris, Ile-de-France Pulsover Temps plein

À propos de Pulsover :

Pulsover est un cabinet de conseil spécialisé dans la data, le cloud et le delivery. La mission de nos consultants Pulsover est d'accompagner des entreprises de toutes tailles dans leur transformation digitale grâce à la combinaison de leur expertise technique et de leur capacité à gérer des projets internationaux et à forts enjeux. Notre culture favorise l'innovation, la performance, et un environnement propice au développement professionnel.

Nous renforçons notre pôle Data pour accompagner la croissance de notre société en recherchant un.e Senior Data Engineer expérimenté.e.

Si tu es passionné.e par la data, que tu possèdes une expertise approfondie sur Spark, Databricks et AWS, cette offre d’emploi est faite pour toi.

En tant que Data Engineer Senior, tu joueras un rôle essentiel dans la création, la mise en œuvre et la gestion de nos pipelines de données. Tu seras responsable de concevoir des architectures de données robustes, de développer des solutions d’intégration de données efficaces et d’optimiser les performances de nos infrastructures de données.


Tes missions principales :

  • Participer à des projets de data engineering basés sur un framework méthodologique
  • Développer, industrialiser et maintenir des pipelines de données (principalement ETL et ML)
  • Effectuer de l’exploration de données et du prototypage rapide
  • Mettre en application les meilleures pratiques : versioning, tests automatisés, CI/CD
  • Participer activement à l’automatisation des infrastructures basées sur des services de Cloud Computing
  • Implémenter des architectures de type Lakehouse pour casser les silos
  • Déployer des algorithmes de machine learning at scale et sur des flux de streaming
  • Collaborer avec l’ensemble des équipes depuis les spécifications fonctionnelles jusqu’aux validations métiers des solutions implémentées
  • Contribuer à la mise en place de méthodologies Agile de type Scrum


Socle technologique et méthodologique :

  • Stack technique du poste : Spark, Python, Scala, Scikit learn, MLFlow, Versionning (Git), CI/CD (GitHub Actions/ GitLab/ Jenkins)
  • Job orchestration : Apache Airflow
  • Data platform: Databricks, Snowflake
  • Cloud : AWS et/ ou GCP, Azure
  • Méthodo : développement Agile/ travail en équipe collaborative
  • Tests automatisés : Pytest, Scalatest, Cucumber


Profil recherché :

  • De formation ingénieur ou équivalent avec une expérience de 5 ans minimum dans le data engineering
  • Expérience significative en tant que Data Engineer, avec une expertise approfondie sur Spark, Databricks, AWS et/ ou GCP
  • Solide compréhension des principes de l’ingénierie des données, des architectures distribuées et des meilleures pratiques de gestion des données
  • Excellentes compétences en programmation, notamment dans les langages tels que Python ou Scala
  • Connaissance des technologies de bases de données, des outils ETL et de l’intégration de données
  • Capacité à travailler de manière autonome, à gérer plusieurs projets simultanément et à respecter les délais
  • Bon niveau en anglais pour nos projets dans un contexte international
  • Et surtout : bonne humeur et attitude positive sont essentielles ;)


Les avantages :

  • Un environnement de travail collaboratif et stimulant, favorisant l’apprentissage continu et l’évolution professionnelle
  • Des opportunités de formation et de développement professionnel pour rester à jour sur les dernières technologies
  • La possibilité de travailler sur des projets de données complexes et stimulants, ayant un impact direct sur les décisions stratégiques de l’entreprise
  • Une rémunération compétitive et des avantages sociaux attractifs