{"id":2943248,"url":"https://alion.io/job/gemini-consulting-data-engineer-python-pyspark-hf","title":"Data Engineer Python / PySpark (H/F)","company":{"id":3908570,"name":"Gemini Consulting","domain":"geminiconsulting.fr","url":"https://alion.io/company/sas-gemini","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 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le cadre de projets Data au sein d’un acteur majeur de la banque de financement et d’investissement, nous recherchons un Data Engineer maîtrisant Python, PySpark et SQL.\nVous interviendrez sur la conception et l’optimisation de pipelines de données, ainsi que sur la modernisation des traitements ETL.\n🔹 Vos missions :\nConcevoir et faire évoluer les modèles de données avec PySpark, SQL, Python et Pandas.\n\nDévelopper des pipelines PySpark capables de traiter des volumes de données croissants.\n\nMettre en œuvre les traitements d’ingestion dans la couche Raw.\n\nConcevoir et alimenter des entrepôts de données destinés au reporting et à la visualisation.\n\nMigrer les traitements ETL Alteryx vers Python, dans un objectif de modernisation et de réduction des coûts.\n\nAssurer la maintenance et l’automatisation des traitements batch et des jobs ETL avec Autosys.\n\nContribuer à l’intégration et à la livraison continues avec Jenkins, Git et Bitbucket.\n\nParticiper au suivi des travaux et à la collaboration avec l’équipe via Jira.\n\nProfil recherché\n🔹 Profil recherché :\nExpérience confirmée en Data Engineering et en développement de traitements de données.\n\nBonne maîtrise de Python, PySpark, SQL et Pandas.\n\nSolides compétences en modélisation de données, ETL et Data Warehouse.\n\nExpérience de l’ordonnancement de traitements avec Autosys.\n\nConnaissance d’Alteryx, notamment pour accompagner une migration vers Python.\n\nMaîtrise des outils de versionnement et d’intégration continue.\n\nAutonomie, rigueur et capacité à travailler en équipe.\n\nUne expérience en environnement bancaire serait appréciée.\n\n🛠️ Environnement technique : Python, PySpark, SQL, Pandas, Alteryx, Autosys, Jenkins, Git, Bitbucket, 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