{"id":2018655,"url":"https://alion.io/job/celad-data-engineer-big-data-fh","title":"Data Engineer Big Data (F/H)","company":{"id":3908314,"name":"Groupe CELAD","domain":"celad.com","url":"https://alion.io/company/celad-2","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"freelance","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Paris, 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recherchons un.e Data Engineer expérimenté.e pour rejoindre une squad métier et intervenir sur la conception, le développement, l’industrialisation et l’exploitation de solutions Data.\n\nVotre rôle\nIntégré.e à une équipe Agile, vous travaillerez en collaboration avec les PO, BA, développeurs et architectes sur l’ensemble du cycle de vie des solutions Data.\n\nVous serez notamment amené.e à :\nParticiper à la définition et à l’évolution de l’architecture Data ;\nAnalyser et affiner les besoins avec les PO et BA et les traduire en solutions techniques ;\nConcevoir et développer des pipelines de collecte, ingestion, transformation et stockage ;\nDévelopper des traitements Spark en batch et en streaming ;\nAutomatiser l’ingestion et orchestrer les flux de données ;\nIntervenir dans des environnements Hadoop / Cloudera ;\nConcevoir et exécuter les tests unitaires et automatisés ;\nIndustrialiser et déployer les développements sur les différents environnements ;\nAssurer le bon fonctionnement des solutions en production et participer à la gestion des incidents ;\nMettre en place et optimiser le monitoring et l’observabilité ;\nContribuer à l’amélioration continue de la qualité du code et des pratiques de développement ;\nParticiper aux sujets de gouvernance, qualité, protection et traçabilité des données.\n\nProfil recherché\nProfil recherché\nVous disposez de 4 à 7 ans d’expérience en Data Engineering et avez déjà participé à la conception et à la mise en production de solutions Data dans un environnement Big Data industrialisé.\n\nCompétences indispensables\nApache Spark, en batch et streaming ;\nSQL et manipulation de volumes importants de données ;\nConception de pipelines Data et flux d’ingestion ;\nBases de données SQL : Hive, Teradata ou Phoenix ;\nEnvironnements NoSQL : HBase, MongoDB ou équivalent ;\nIndustrialisation et CI/CD : Git, Jenkins, Artifactory, XL Release ;\nMonitoring et observabilité : ELK Stack, Grafana.\n\nCompétences fortement appréciées\nHadoop / Cloudera ;\nxDI ;\nRGPD, Data Lineage et catalogage des données ;\nConnaissance du secteur bancaire.\n\nEnvironnement technique\nSpark, SQL, Hive, Teradata, Phoenix, HBase, MongoDB, Hadoop, Cloudera, Git, Jenkins, Artifactory, XL Release, ELK, Grafana\nQualités recherchées\n\nAu-delà de l’expertise technique, vous êtes capable de comprendre les enjeux métier associés aux traitements Data.\n\nNous recherchons notamment :\nAutonomie et prise de responsabilité sur les sujets ;\nEsprit d’analyse et capacité à challenger les besoins ;\nBon relationnel avec des interlocuteurs techniques et fonctionnels ;\nPédagogie ;\nCapacité d’adaptation dans un environnement Agile et 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