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Tu auras un impact visible et durable en travaillant sur des projets ambitieux et complexes pour des clients de renom tels que Michelin, Airbus, Sanofi et SNCF.\nMissions\nParticiper à la performance des pipelines data, en particulier pour les migrations cloud massives et les architectures complexes.\nAuditer les architectures existantes, diagnostiquer les problèmes et proposer des stratégies adaptées aux contraintes du client.\nAssurer le leadership technique et le mentoring des Data Engineers juniors, en partageant votre expertise et vos connaissances.\nProfil recherché\n**Formation & expérience*** Diplôme d'ingénieur ou Master en informatique (Bac +5) d'une école du top 10\n* Minimum 5 ans d'expérience, dont 3 sur des archi complexes en production\n* Expérience sur des migrations cloud et des projets à grande échelle\n**Compétences techniques indispensables**\n* Maîtrise solide de Python et/ou Scala ; Spark/PySpark avancé\n* Expérience sur les modernes data stack : Databricks, Snowflake, ou équivalent\n* Connaissance approfondie d'un cloud public & de l'IaaC avec Terraform\n* Implémentation d'agents & solutions GenAI\n* Orchestration : Airflow ou Dagster en prod\n* Usage approfondi des outils d'assistance au développement\n* Bonnes pratiques de développement & d'industrialisation du code\n**Compétences techniques appréciées**\n* Expérience avec Kafka ou autres systèmes event-driven\n* DBT pour la transformation ; 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