Senior Data Engineer Cloud
vor 3 Wochen
- 80% - 100%
- Lausanne, Suisse
- Hybrid
- Avec expérience professionnelle
- 14.04.24
Fondée il y a plus de 125 ans, la Vaudoise est l'un des leaders du marché suisse des assurances. Nos valeurs, notre taille, notre solidité financière et notre indépendance sont des atouts certains pour vous offrir un environnement de travail de première qualité.
Au cœur de la Transformation Digitale de Vaudoise Assurances, le service Data & Analytics engineering joue un rôle clé en collectant, transformant, valorisant et mettant à disposition des données et des solutions facilitant la prise de décision et l’efficacité opérationnelle.
Face à la croissance des opportunités dans le domaine de la data, nous souhaitons renforcer notre équipe Data & Analytics par l'engagement d'un(e) Senior Data Engineer Cloud. A ce poste, vous intégrez une équipe d'ingénieurs Data & Analytics et vous collaborez avec plusieurs acteurs du département Transformation Digitale.
Les missions qui vous attendent :
- Contribuer à la réalisation de projets data au sein d’une équipe de Data Engineers travaillant selon des méthodes agiles
- Participer aux activités d’analyse, de design technique, de développement y compris la modélisation d'entrepôt de données et de Datamart dans un environnement Cloud Azure et Databricks
- Définir, designer, développer des processus de chargement de données
- Maitrise des outils de développement et déploiement continus CI / CD dans environnement Azure & databricks
- Réaliser la couche sémantique de présentation (tabular model et Power BI dataset)
- Développer des tableaux de bord et des rapports avec Power BI
- Accompagnement de la migration de nos solutions on premises vers le Cloud
Ce qui vous rend unique :
- Formation professionnelle supérieure de type HES, Universitaire ou autre dans un domaine technique
- Minimum 5 ans d'expérience dans la mise en œuvre de solutions analytiques de l'ingestion des données à leur mise à disposition suivant des méthodes agile dans un contexte Cloud
- Expérience sur les outils Analytiques Microsoft Azure et Databricks au moins 3 - 5 ans
- Très bonnes connaissances des langages SQL et Python
- Des compétences avérées sur les outils suivants Spark (Synapse / Databricks - delta lake), approches DevOps (déploiement CI/CD)
- Expérience significative sur des projets d'envergure de transformation digitale un plus
Nous vous offrons :
- Un environnement de travail sain dans une entreprise mutualiste labelisée "Meilleur Employeur"
- Des avantages sociaux multiples, dont la flexibilité dans l'organisation du travail
- Un travail au sein d'une équipe dynamique et passionnée
- Des valeurs humaines centrées sur le bien-être des collaborateurs
Nous nous réjouissons de recevoir votre dossier de candidature complet par voie digitale (avec curriculum vitae, lettre de motivation, copie des certificats de travail et diplômes).
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