EY
Finance • Consulting • Technology
EY is a global professional services firm, widely recognized for providing audit, tax, consulting, and advisory services. It focuses on helping its clients solve complex problems and transform their businesses using data and technology. EY is committed to building a better working world by enhancing trust in financial markets and economies globally. Its services include corporate finance advisory, transaction strategy, technology consulting, and more, catering to sectors such as health, energy, finance, government, and more. EY also emphasizes sustainability and innovation in its solutions.
10,000+ employees
Founded 1989
💸 Finance
Data Engineer, GCP
Job not on LinkedIn
November 13
🗣️🇫🇷 French Required
EY
Finance • Consulting • Technology
EY is a global professional services firm, widely recognized for providing audit, tax, consulting, and advisory services. It focuses on helping its clients solve complex problems and transform their businesses using data and technology. EY is committed to building a better working world by enhancing trust in financial markets and economies globally. Its services include corporate finance advisory, transaction strategy, technology consulting, and more, catering to sectors such as health, energy, finance, government, and more. EY also emphasizes sustainability and innovation in its solutions.
10,000+ employees
Founded 1989
💸 Finance
📋 Description
• Concevoir et développer des pipelines ETL/ELT performants sur GCP (BigQuery, Dataflow, Dataproc, Pub/Sub, Composer). • Modéliser et maintenir des data warehouses et data lakes scalables et optimisés. • Définir et implémenter des architectures data cloud fiables et sécurisées, intégrant les meilleures pratiques DataOps. • Collaborer étroitement avec les équipes métiers et techniques pour co-construire des solutions data-driven. • Garantir la qualité, la sécurité et la gouvernance des données dans des environnements cloud complexes.
🎯 Requirements
• 3 à 5 ans d’expérience en Data Engineering sur Google Cloud Platform. • Maîtrise de BigQuery, Dataflow, Dataproc, Pub/Sub, Composer, SQL et Python. • Connaissance des architectures data modernes (Data Lake, Data Warehouse, Data Mesh). • Maîtrise des outils CI/CD, Git, Docker, Kubernetes, Terraform apprécié. • Capacité à transformer des besoins métiers en solutions techniques efficaces. • Curiosité technologique, rigueur, esprit d’équipe, autonomie, orientation client. • Excellente communication en français et en anglais et pédagogie.
🏖️ Benefits
• Un environnement de travail stimulant, collaboratif et international. • Des perspectives d’évolution et de développement professionnel. • Des projets à fort impact et une forte exposition stratégique. • L’opportunité de rejoindre un Big Four reconnu mondialement.
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