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du renforcement d'une plateforme Data stratégique au sein d'un acteur majeur du secteur de l'énergie, nous recherchons un Data Engineer Senior / Tech Lead Data H/F afin d'accompagner la conception, l'industrialisation et l'optimisation des solutions de traitement et d'exposition des données de consommation clients dans un environnement Cloud moderne basé sur Databricks et AWS.\nMissions principales :\n\nArchitecture Data & conception des solutions\nParticiper à la conception des architectures techniques en collaboration avec les équipes Data et Métiers.\n\nÊtre force de proposition sur les choix techniques et les évolutions de la plateforme.\n\nConcevoir et faire évoluer des architectures de données basées sur la Databricks Medallion Architecture (Bronze, Silver, Gold).\n\nComprendre les besoins fonctionnels afin de proposer les solutions les plus adaptées.\n\nParticiper aux cérémonies Agile SAFe (PI Planning, refinements, rétrospectives, chiffrages).\n\nConception & développement Data Engineering\nConcevoir, développer et maintenir des pipelines de données (ETL/ELT).\n\nMettre en œuvre et orchestrer les traitements de données via Databricks.\n\nModéliser les données dans Delta Lake en appliquant les bonnes pratiques de performance et de gouvernance.\n\nConcevoir, développer et maintenir des APIs d'exposition et de consommation des données.\n\nAssurer la documentation technique des solutions développées.\n\nPerformance, qualité & exploitation\nGarantir la qualité, la fiabilité et la performance des traitements en production.\n\nOptimiser les traitements Spark et Databricks.\n\nMettre en place des mécanismes de Data Quality, monitoring et alerting.\n\nAnalyser et corriger les incidents de production.\n\nContribuer à l'amélioration continue des processus d'exploitation.\n\nIndustrialisation & leadership technique\nDévelopper, tester et déployer les composants via des pipelines CI/CD.\n\nAccompagner les équipes sur les bonnes pratiques Data Engineering.\n\nParticiper aux orientations techniques et aux choix d'architecture.\n\nPromouvoir les approches d'AI-Augmented Data Engineering.\n\nContribuer à l'innovation et à l'optimisation continue de la plateforme.\n\nProfil recherché\nBac +5 en informatique ou formation équivalente.\n\nMinimum 7 ans d'expérience en Data Engineering.\n\nExpérience significative en environnement Databricks et AWS.\n\nMaîtrise de Python, SQL, PySpark.\n\nSolides compétences en modélisation et qualité des données.\n\nExpérience sur les APIs REST et les pratiques CI/CD.\n\nExpérience de Tech Lead ou référent technique.\n\nBonne connaissance des méthodologies Agile / SAFe.","description_format":"text","description_chars":2589,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT 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