Remote Ingénieur(e) Senior Données & Analytique
Xideral
Langue requise :
Bilingue (Français / Anglais) ou Anglophone
Heures de travail par semaine :35 heures
Type de poste : Mode hybride idéalement à 50 % en présentiel dans n'importe quel bureau de Montréal.
Ouvert aux candidatures 100 % à distance hors Québec.
6 mois (renouvelable)
À propos du posteNous recherchons un Ingénieur(e) Senior en Données et Analytique passionné(e) par les données et l’innovation, pour rejoindre une équipe dynamique et compétente. Vous contribuerez activement à la mise en place d’une plateforme de données moderne, soutenant la transformation d’entreprise d’un acteur majeur dans son secteur.
Vous serez impliqué(e) dans des projets stimulants qui visent à créer de la valeur pour l’organisation et renforcer sa position comme chef de file en analytique. Vous travaillerez sur des solutions robustes et évolutives dans un environnement à grande échelle, avec des équipes pluridisciplinaires.
Exigences et compétences techniquesExpérience requise :
Minimum 5 ans d’expérience comme ingénieur(e) en données et analytique.
Solide expérience dans des environnements complexes et de grande envergure.
Technologies obligatoires :
Snowflake
DBT (expérience essentielle pour la construction de pipelines)
Langages de programmation :
SQL
Python
Mise en place de pipelines ELT robustes et performants
Transformation de données brutes en données exploitables pour les équipes analytiques
Contrôle de la qualité des données
Documentation technique pour assurer la maintenabilité des solutions
Contribution active à la définition des besoins, à l’estimation et à la livraison des solutions
Concevoir, développer, tester et supporter des pipelines ELT fiables
Collaborer avec différentes équipes de développement pour atteindre les objectifs de livraison
Participer à la définition des exigences fonctionnelles et techniques
Garantir la qualité, la performance et la fiabilité des transformations de données
Rédiger la documentation technique des solutions mises en place
Expérience avec Azure
Connaissances en Microsoft SQL Server
Maîtrise de Power BI
Notions en JavaScript / Node.js
Connaissances en Java
Compréhension du langage DAXv
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