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Data Engineer

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Montréal QC, Canada Robert Half Full time

Responsabilités:Conception et architecture de pipelines ETL/ELT:Travaillez en étroite collaboration avec les analystes et architectes de données pour comprendre les besoins métiers et concevoir des pipelines de données ETL/ELT efficaces et robustes.Choisissez les technologies appropriées (par exemple, Azure Data Factory, Spark) pour extraire, transformer et charger les données provenant de sources variées (bases de données relationnelles et non relationnelles, applications métiers, API) vers le Data Lake et l'entrepôt de données.Développement et implémentation:Développez le code nécessaire pour extraire, transformer et charger les données.Cela peut inclure l'écriture de scripts SQL, Python, Scala ou des configurations pour les outils ETL/ELT.Assurez-vous que les pipelines sont documentés, testés et maintenables.Optimisation et monitoring:Surveillez les performances des pipelines de données et identifiez les goulots d'étranglement.Mettez en œuvre des techniques d'optimisation pour améliorer l'efficacité et la rapidité des pipelines.Configurez des alertes pour être informé de tout problème potentiel.Intégration des données front-end et back-end:Participez à la construction de la couche d'accès aux données pour les outils de Business Intelligence (BI) tels que Power BI.Développez des vues de données et des modèles dimensionnels pour faciliter l'analyse et la visualisation des données.Assurez-vous que les utilisateurs métiers disposent des données dont ils ont besoin pour prendre des décisions éclairées.Exploration des nouvelles technologies:Restez à jour sur les dernières technologies et tendances en matière d'ingénierie des données.Identifiez et proposez des solutions innovantes pour améliorer l'efficacité et la qualité des données.Participez à des projets pilotes pour tester de nouvelles technologies et concepts.Qualifications requises:Baccalauréat ou équivalent en technique.5 années d'expérience en ingénierie des données.Maîtrise de:SQL, TSQL, NoSQL, Python, C#, R, ScalaBases de données relationnelles et non relationnellesETL, Data LakeExcellentes aptitudes pour la résolution de problèmes, l'organisation et le travail autonome.Capacité à livrer des résultats et à maintenir une attitude positive.Compétences techniques:Azure Stack ASLS Gen 2Azure DatabricksAzure SynapseAzure FunctionsAzure DevOpsAtouts:Oracle Ebusiness Suite (EBS)Pourquoi travailler ici:Il s'agit d'une excellente occasion de travailler sur un projet stimulant qui aura un impact réel sur les résultats de l'entreprise.L'entreprise est engagée dans la décarbonisation et investit massivement dans les nouvelles technologies.L'entreprise est en train de reconstruire son architecture de données.L'entreprise utilise des technologies de pointe telles que Azure, Copilot et Power BI.L'entreprise dispose d'un solide programme de gouvernance des données.