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Senior Cloud Data Engineer
ProgiCanada
En tant que Senior Cloud Data Engineer chez Progi, vous serez responsable de la transformation et orchestration de la plateforme de données cloud , avec un focus particulier sur les couches Silver et
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Amazon Web ServicesAndrésy
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data ce
DCEO Engineer, Data Center Engineering Operations
Amazon Web ServicesFranceAWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data ce
DCEO Engineer, Data Center Engineering Operations
Amazon Web ServicesChambourcyAWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data ce
DCEO Engineer, Data Center Engineering Operations
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DCEO Engineer, Data Center Engineering Operations
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DCEO Chief Engineer, Data Center Engineering Operations
Amazon Web ServicesFranceAWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data ce
DCEO Chief Engineer, Data Center Engineering Operations
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DCEO Chief Engineer, Data Center Engineering Operations
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DCEO Chief Engineer, Data Center Engineering Operations
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DCEO Chief Engineer, Data Center Engineering Operations
Amazon Web ServicesFranceAWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data ce
DCEO Chief Engineer, Data Center Engineering Operations
Amazon Web ServicesFranceAWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data ce
DCEO Chief Engineer, Data Center Engineering Operations
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DCEO Chief Engineer, Data Center Engineering Operations
Amazon Web ServicesPiscopAWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data ce
DCEO Chief Engineer, Data Center Engineering Operations
Amazon Web ServicesFranceAWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data ce
DCEO Chief Engineer, Data Center Engineering Operations
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DCEO Chief Engineer, Data Center Engineering Operations
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DCEO Chief Engineer, Data Center Engineering Operations
Amazon Web ServicesFranceAWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data ce
DCEO Chief Engineer, Data Center Engineering Operations
Amazon Web ServicesÉzanvilleAWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data ce
DCEO Chief Engineer, Data Center Engineering Operations
Amazon Web ServicesVanvesAWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data ce
DCEO Chief Engineer, Data Center Engineering Operations
Amazon Web ServicesFranceAWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data ce
Über
En tant que Senior Cloud Data Engineer chez Progi, vous serez responsable de la transformation et orchestration de la plateforme de données cloud , avec un focus particulier sur les couches Silver et Gold (BigQuery, Dataform, Cloud Composer) .
Votre rôle sera central dans l’évolution de notre plateforme vers un modèle data-driven avancé , incluant l’optimisation des coûts, la performance des pipelines et la mise en place des premières capacités en Machine Learning / AI en production .
Vous agirez en propriétaire end-to-end des pipelines de données (architecture medallion) et contribuerez activement à bâtir une plateforme robuste, performante et prête pour les usages analytiques et prédictifs.
Responsabilités principales
Ownership de la plateforme data (Medallion)
- Concevoir, construire et maintenir les couches Silver et Gold dans BigQuery
- Assurer l’implémentation complète d’une architecture Medallion (bronze / silver / gold)
- Garantir la qualité, la cohérence et la scalabilité des datasets
- Développer et maintenir des pipelines ELT/ETL avec Dataform et Cloud Composer
- Orchestrer les workflows de transformation et de chargement de données
- Assurer un monitoring fiable des pipelines en production
- Implémenter des stratégies d’ingestion via :
- APIs
- Bases de données (MySQL, etc.)
- Standardiser les flux d’ingestion pour assurer leur robustesse et leur réutilisabilité
- Optimiser les coûts et les performances des workloads BigQuery
- Mettre en place des bonnes pratiques :
- partitioning / clustering
- query optimization
- data lifecycle management
- Suivre et améliorer en continu l’efficacité de la plateforme
- Collaborer à la mise en place des premiers cas d’usage ML/AI
- Préparer les données pour des pipelines de machine learning en production
- Participer à l’intégration avec les outils GCP liés au ML (ex : Vertex AI)
- Contribuer à la mise en place et l’amélioration des pipelines CI/CD (Git, automatisation)
- Appliquer les standards d’ingénierie modernes (tests, versioning, documentation)
- Travailler étroitement avec les équipes BI, produit et techniques
- Participer à la définition des besoins analytiques et des modèles de données
- Promouvoir une culture de data engineering orientée performance et valeur métier
- Minimum 5 ans d’expérience en data engineering
- Minimum 2 ans sur Google Cloud Platform (GCP)
- Excellente maîtrise de :
- SQL (avancé)
- Python
- Expérience solide avec :
- BigQuery
- Dataform
- Cloud Composer
- Bonne compréhension des architectures :
- Data warehouse
- Medallion architecture
- Construction de pipelines de données en production
- Optimisation des coûts et performance BigQuery
- Migration ou modernisation vers le cloud
- Expérience avec des projets de Machine Learning (atout fort)
- Expérience avec CI/CD et Git
- Connaissance des outils d’ingestion (API, bases transactionnelles)
- Expérience dans un environnement data à forte volumétrie
- Ownership complet de la couche de transformation (pas juste builder)
- Impact direct sur :
- les coûts cloud
- la performance data
- la stratégie AI/ML
- Rôle hybride Data Engineer + Data Platform + AI en devenir
- Excellente maîtrise de :
- SQL (avancé)
- Python
- Expérience solide avec :
- BigQuery
- Dataform
- Cloud Composer
- Bonne compréhension des architectures :
- Data warehouse
- Medallion architecture
- Expérience pratique souhaitée
- Construction de pipelines de données en production
- Optimisation des coûts et performance BigQuery
- Migration ou modernisation vers le cloud
- Expérience avec des projets de Machine Learning (atout fort)
Sprachkenntnisse
- French
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