Data Engineer
11 hours ago
Qui sommes-nous ?
Audensiel Canada (ex Maltem Canada) est une jeune filiale montréalaise de conseil en transformation numérique et innovation. Soutenu par notre groupe international, nous jouissons d'une stabilité et d'un réseau de partage conséquent.
Tout ce que nous faisons à un effet direct sur le développement de l'entreprise. Chaque collaborateur a donc une forte importance.
Nos valeurs reposent sur des principes simples à savoir : excellence, partage, responsable, bien-être et impact société.
Sur ce dernier point, Audensiel Canada s'est engagé depuis ses débuts dans de multiples initiatives afin d'essayer de créer un monde meilleur. Rejoindre notre entreprise, c'est aussi participer collectivement à cet objectif .
Ce que nous recherchons
Nous recherchons un.e Ingénieur.e De Données expérimenté.e et motivé.e, souhaitant travailler sur des défis ambitieux, à savoir : accompagnement de projets clients exigeants à forte visibilité, amélioration continue de nos pôles d'expertise, excellence de nos offres, conférences, réseautage, engagement sociétal et environnemental .
Idéalement, nous souhaitons une personne capable de passer d’une posture d’écoute et d’analyse, à une posture de leader. Nous attendons de nos consultants une force de conviction, capable d’orienter nos clients et d’appuyer des décisions de conception vers des équipes de développement.
Avant tout nous recherchons des personnalités qui incarnent un esprit intrapreneur et qui souhaitent prendre part à une jeune entreprise en pleine croissance.
Ces valeurs te correspondent ? Tu souhaites évoluer en autonomie dans une ambiance fun et décontractée ? Sois attentif, ce job est fait pour toi
Ce que nous pouvons faire ensemble
En nous rejoignant, tu intégreras notre pôle Data. Ton rôle sera (1) d’apporter ton savoir sur la réalisation des projets clients et (2) de travailler dans un programme d’envergure d’implantation d’une solution. En ce sens, voici un aperçu de ce à quoi tu peux t’attendre :
- Améliorer de manière significative les capacités de notre client à exploiter pleinement les données tout en gérant les risques.
- Contribuer à l’enrichissement d'une nouvelle plateforme avec des blocs de données.
- Comprendre, formuler et remettre en question les besoins métier, et les traduire en spécifications de données qui contribueront à la livraison ou à l'amélioration de produits analytiques.
- Utiliser Azure Data Factory pour l’ingestion dans le data lake
- Utiliser Databricks pour la transformation et le chargement de données
- Utiliser Spark/Scala/Python pour le développement des bibliothèques de chargement
- Participer au développement du nouveau modèle d’ingestion en utilisant Databricks Streaming et Kafka
- Développer des meilleures pratiques pour la validation de la qualité des données
- Collaborer avec l’équipe pour maintenir la cohérence de la plateforme et assurer le transfert de connaissances
- Participer aux meetups et encadrer techniquement les projets et les équipes.
Expérience visée
- 5 ans d’expérience dans le développement avec Spark/Python
- 3+ ans d’expérience sur Databricks
- Expérience avec Power BI
- Expérience avec le langage Scala
- Expérience avec Azure Data Lake et Azure Data Factory
- Expérience avec les pipelines Azure DevOps
Ce que nous t’offrons :
- Une rémunération compétitive
- Un réel accompagnement sur ton plan de carrière (formations, certifications, tâches et responsabilités adéquates vis-à-vis de tes attentes)
- Assurance complémentaire santé de l’entreprise
- REER de l’entreprise (Fonds de Solidarité FTQ)
- Remboursement mensuel de 50% de l’abonnement annuel OPUS
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