{"id":4046242,"url":"https://alion.io/job/linkup-partner-data-engineer-data-quality-microsoft-fabric-hf","title":"Data Engineer / Data Quality – Microsoft Fabric (H/F)","company":{"id":3908536,"name":"Linkup Partner","domain":"linkup-partner.com","url":"https://alion.io/company/linkup-partner","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":null,"employment_type":"freelance","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Paris, 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opérationnelles issues d'une plateforme de supervision industrielle, avec pour objectif d'améliorer durablement leur qualité, leur fiabilité et leur exploitabilité.\nVous évoluerez au sein d'une architecture Data en médaillon sous Microsoft Fabric et contribuerez à l'industrialisation des flux et traitements nécessaires aux activités de supervision, de suivi de performance et de reporting.\nVos missionsEn tant que Data Engineer / Data Quality, vous serez notamment amené(e) à :\nDéfinir et maintenir des règles de qualité sur les données de production, de disponibilité, de pertes et d'états opérationnels.\n\nMettre en place des contrôles automatisés, des indicateurs de qualité et des mécanismes d'alerte.\n\nConcevoir, développer et maintenir des pipelines d'ingestion et de transformation de données.\n\nDévelopper des traitements en SQL et Python/PySpark dans un environnement Microsoft Fabric.\n\nGarantir la robustesse, la traçabilité et la réexécution des pipelines.\n\nMettre à disposition des jeux de données fiables et documentés pour les équipes BI et les usages analytiques.\n\nAppliquer les bonnes pratiques de développement : versionnement, tests, journalisation, revue de code et déploiement.\n\nAssurer la documentation technique et le transfert de connaissances.\n\nCollaborer avec les équipes Data, IT, Exploitation et Performance ainsi qu'avec les différents interlocuteurs techniques.\n\nLivrables attendusRéférentiel de règles et de contrôles qualité.\n\nPipelines et traitements industrialisés, testés et documentés.\n\nTableau de bord de suivi de la qualité des données.\n\nDocumentation technique et procédures d'exploitation.\n\nSupports et sessions de transfert de compétences.\n\nProfil recherché\nVous êtes issu(e) d'une formation supérieure en informatique, Data Engineering, ingénierie ou domaine connexe et justifiez d'une expérience significative en Data Engineering et/ou Data Quality.\nVous disposez notamment des compétences suivantes :\nTrès bonne 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