English version will followL 'utilisation du genre masculin a ete adoptee afin de faciliter la lecture et n 'a aucune intention discriminatoire.Ingénieur principal des donnéesLieu : Saint-Laurent, Québec – (Hybride)Taux horaire : 73,33 $/heureDurée du contrat : 12 moisChez Raise, nous recrutons un Ingénieur principal des données (Senior Data Engineer) pour l 'un de nos clients de premierplan. Apr 'es s'etre imposu00e9e comme un chef de file du secteur, l 'entreprise agrandit actuellement son flequipe pour r U00e9pondre e0 une demande croissante. Nous recrutons d U00e9s maintenant ; si le poste vous int E0resse, postulez ci-dessous pour avoir la chance de rejoindre un environnement de travail exceptionnel.Responsabilit 'es:Architecture de plateforme et ing U00e9nierie des donnu00e9esConcevoir et maintenir des solutions de donn U00e9es dans Microsoft Fabrictravers les couches Bronze, Silver et Gold en utilisant le cadre de r U00e9fu00e9rence de la plateforme de donn U00e9es de CAE.Soutenir et am U00e9liorer la plateforme de donn U00e9es du00e9entreprise, incluant les entrep U00f4ts de donnu00e9es (DataWarehouses) et les lacs de donn U00e9es (Data Lakes).Concevoir,31142, développer et maintenir des pipelines de donn U00e9es e0 lu2019aide de SQLet d U2019outils Big Data tels queSpark, Kafka ou Hadoop.Developper des processus fiables pour l U2019 ingestion, la transformation et la distribution de donn U00e9es provenant de multiples sources.Int U00e9grer des donnu00e9es issues de sources internes, externes et de l U2019Internet des objets (IoT) afin de r U00e9pondre aux besoins du2019affaires.Concevoir et maintenir des solutions de donn U00e9es de type backend destin U00e9es e0 soutenir les analystes, scientifiques de donn U00e9es et autres utilisateurs d U2019affaires.Opu00e9rations, qualit U00e9 et livraison:Appliquer les pratiques DevOps afin d U2019amu00e9liorer le du00e9veloppement et le d U00e9ploiement des solutions de donn U00e9es.Identifier les possibilit U00e9s du2019automatisation des taches manuelles et optimiser les processus de livraison des donn U00e9es.Respecter les normes de gouvernance, d U2019architecture et de su00e9curit U00e9 des donnu00e9es.Surveiller les pipelines de donn U00e9es et fournir un soutienlorsque des probl U00e8mes surviennent.Collabor U00e9tion et leadership technique:Collaborer tr U00e8s proche avec les équipes produit, les experts en donn U00e9es, les architectures etles autres parties prenantes afin de r U00e9soudre les problu00e8mes techniques et de r U00e9pondre aux besoins de laplateforme de donn U00e9es.Contribuer e0 l U2019orientation des du00e9cisions techniques, effectuer des revues de code et partager les meilleures pratiques avec l U2019u00e9quipe.Collaborer avec des e9quipes multidisciplinaires dans le cadre d U2019initiatives liées aux donn U00e9es et e0 lu2019intelligence artificielle.Qualifications minimales:Baccalaur U00e9at en informatique, en gu00e9nie ou dans un domaine connexe. Une maîtrise constitue un atout.Minimum de six (6)



ann U00e9es du2019expu00e9rience en ing U00e9nierie des donnu00e9es avec une solide exp U00e9rience pratique en programmation Python, Spark, SQL et langages de script connexes.Exp U00e9rience avec Visual Studio Code et Git dans des environnements de d U00e9veloppement modernes.Exp U00e9rience pratique obligatoire avec Microsoft Fabric, incluant les Lakehouses, OneLake, les pipelines, les notebooks et l U2019architecture mu00e9daillon e travers les couches Bronze, Silver et Gold.Excellente compréhension des fondements de l U2019informatique, notamment les structures de donn U00e9es et les algorithmes.Exp U00e9rience avec Terraform.Exp U00e9rience avec les bases dedonn U00e9es relationnelles et NoSQL, notamment SQL Server, PostgreSQL et Cosmos DB.Qualifications privil U00e9giu00e9es:Exp U00e9rience avec des outils du2019orchestration et de gestion de flux de travail tels qu U2019Azure Data Factory et Airflow.Exp U00e9rience des pratiques DevOps, de GitHub ainsi que des outils de d U00e9ploiement du2019infrastructure tels qu U2019ARM.Expu00e9rience avec les plateformes infonuagiques et de donn U00e9es Microsoft telles que Fabric, Azure, Databricks et Purview.Exp U00e9rience avec les technologies de traitement de flux de donn U00e9es en temps ru00e9el telles que Spark Streaming.Connaissance de Kubernetes.Maîtrise de Power BI pour la production de rapports et la visualisation de donn U00e9es.------------------------------------------------------------------------------Data Engineering Specialist IIILocation: Saint-Laurent, Quebec - (Hybrid)Pay Rate: $73.33/hrContract Length: 12 MonthsWe at Raise are hiring aData Engineering Specialist III for one of our top clients. After establishing themselves as an industry leader, they're now expanding their team to meet rising demand. We're hiring right now; if you're interested, apply below for your chance to join a great place to work.Responsibilities:Platform Architecture and Data EngineeringBuild and maintain data solutions in Microsoft Fabric across Bronze, Silver, and Gold layers using CAE's data platform framework.Support and improve the enterprise data platform, including data warehouses and data lakes.Design, build, and maintain data pipelines using SQL and big data tools such as Spark, Kafka, or Hadoop.Develop reliable processes to ingest, transform, and deliver data from a variety of sources.Integrate data from internal, external, and IoT sources to support business needs.Build and maintain backend data solutions that support analysts, data scientists, and other business users.Operations, Quality,



and DeliveryApply DevOps practices to improve the development and deployment of data solutions.Identify opportunities to automate manual work and improve data delivery processes.Follow data governance, architecture, and security standards.Monitor data pipelines and provide support when issues arise.Collaboration and Technical LeadershipWork closely with product teams, data experts, architects, and other stakeholders to solve technical issues and support data platform needs.Help guide technical decisions, review code, and share best practices with the team.Collaborate with cross-functional teams on data and AI initiatives.Minimum QualificationsBachelor U2019s degree in Computer Science, Engineering, or a related field. A master U2019s degree is an asset.At least 6 years of experience in data engineering with strong hands-on coding in Python, Spark, SQL, and related scripting languages.Experience using Visual Studio Code and Git in contemporary development workflows.Required Qualificationshands-on experience with Microsoft Fabric, including Lakehouses, OneLake, pipelines, notebooks, and medallion architecture across Bronze, Silver, and Gold layers.Strong understanding of computer science fundamentals, including data structures and algorithms.Experience with Terraform.Experience with relational and NoSQL databases, including SQL Server, PostgreSQL, and Cosmos DB.Preferred QualificationsExperience with workflow and orchestration tools such as Azure Data Factory and Airflow.Experience with DevOps and Github and infrastructure deployment tools such as ARM.Experience with Microsoft cloud and data platforms such as Fabric, Azure, Databricks, and Purview.Experience with stream-processing technologies such as Spark Streaming.Familiarity with Kubernetes.Proficiency in Power BI for reporting and data visualization.Looking for meaningful work? We can help!Raise is an established hiring firm with over 65 years of experience. We believe strongly in making the world a better place through work, which is why we U2019re a certified B Corporation and donate 10% of our profits to charity.We strive to build teams that reflect the diversity of the communities we work in. We encourage all qualified applicants to apply, including people from traditionally underrepresented groups such as women, visible minorities, Indigenous peoples, people identifying as LGBTQ2SI, veterans, and people with visible/nonvisible disabilities.We have a dedicated webpage for accommodations where you can learn more about what we offer and request accommodation:In order to submit candidates for roles, our clients will sometimes require personal information to confirm the identity of applicants and their legal status to work. Raise will never ask you for personal or banking information unless you have been selected for a job. If you are ever unsure about the legitimacy of this or another job posting by Raise (or have any other questions), please contact us at +1 (phone hidden) [email protected]#EAOP24 #J-18808-Ljbffr

📌 Ingénieur Principal Des Données/ Data Engineering Specialist Iii - Caehjp00001405 (Montreal)
🏢 Raise
📍 Montreal