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Data Engineer
Il y a 3 mois
Rejoindre moOngy Digital Lab c’est avant tout faire partie d’une équipe qui aime expérimenter, apprendre et se dépasser tel un laboratoire digital
Qui sommes-nous ?
Le groupe moOngy est un réseau de société de conseil agile de 40 entreprises réparties dans 14 pays avec plus de 9500 collaborateurs. Spécialisé dans l’ingénierie et l’IT, le groupe génère un chiffre d’affaires de 730 millions d’euros.
Implantée à Lille et Paris, la marque moOngy Digital Lab (MDL) porte l’expertise digitale et IT du groupe afin de répondre aux enjeux de nos clients avec une approche sur mesure.
Telle une galaxie, MDL propose une offre 3D :
- Digital Factory
- Data Factory
- Dev Factory
Ainsi que l’expertise QA, notre offre transverse qui équilibre notre galaxie.
Nous recherchons un Data Engineer pour rejoindre notre équipe.
Vos missions :
- Analyse des besoins en données par les différentes parties prenantes (métier, autres acteurs IT, internes/externes…)
- Identification des sources de données et de leur cycle de vie
- Création des pipelines de données robustes et pour de grands volumes selon les règles/processus définis
- Adaptations des modèles de données (infocentres, datawarehouses ou datalakes) selon les niveaux de dénormalisation (relationnel, étoile, flocon,…)
- Capacités de gestion et administration d’infrastructures Cloud
Les Technologies à maitriser :
Langages de développement : SQL, Python, Scala ou Java
Outils ETL (maitrise de 2 ETL au moins):
- Azure Databricks / Spark
- GCP BigQuery (Python)
- AWS Lambda (Python)
- Talend (Java)
Base de données : SQL server, Oracle ou autres bases de données majeures du marché
Cloud : AWS / Microsoft Azure / GCP
Votre profil :
- De formation ingénieur ou équivalent avec une expérience dans le data engineering
- Maitrise de l'Anglais oral et écrit
