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Tu travailleras en étroite collaboration avec les équipes techniques et bénéficieras d'un environnement technique moderne, de projets à fort impact métier, et d'une montée en compétences sur les technologies les plus recherchées du marché.\nMissions\nDévelopper et faire évoluer des plateformes de données, concevoir de nouveaux cas d'usage.\nConcevoir des pipelines de traitement de données, développer des traitements robustes et performants.\nParticiper au développement des services Data, concevoir des APIs et des services d'ingestion en Python/Django.\nProfil recherché\n**Concrètement, qu'est-ce qu'on demande ?**### En 1er, un savoir-être en phase avec notre culture :\n* Tu es autonome, rigoureux(se) et force de proposition.\n* Tu apprécies travailler en équipe sur des projets complexes.\n* Tu possèdes un excellent esprit d'analyse et sais résoudre des problématiques techniques.\n* Tu es curieux(se) et en veille permanente sur les technologies Data et Cloud.\n* Tu accordes une grande importance à la qualité du code et à l'amélioration continue.\n### En 2nd, un bagage technique solide :\n* Une expérience de **4 à 8 ans** en tant que Data Engineer.\n* Une excellente maîtrise de **Python**, idéalement avec **Django**.\n* Une solide expérience sur **Apache Spark** et **Databricks**.\n* Une bonne maîtrise de **SQL** et de **PostgreSQL**.\n* Une expérience des environnements **AWS** et/ou **Microsoft Azure**.\n* Une bonne connaissance de **Kubernetes** (EKS), **Rancher** et des architectures conteneurisées.\n* Une expérience des outils CI/CD (**GitLab, Jenkins, Docker, Harbor...**).\n* Une connaissance des systèmes de messagerie (MQ) serait appréciée.\n* Une expérience des méthodologies **Agile / Scrum**.\n### Les petits plus qui feront la différence :\n* Une expérience sur des plateformes Data critiques ou à forte volumétrie.\n* Une bonne compréhension des architectures distribuées et des environnements cloud.\n* **Une expérience dans le secteur ferroviaire, des 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