Data Engineer
il y a 4 semaines
Nous recrutons un(e) Data Engineer pour accompagner le développement des activités de la Business Unit Data Science chez Sia Partners.
MissionVous serez amenéà participer aux missions Data Science de Sia Partners chez nos clients, ainsi qu'à développer nos produits Software-as-a-Service Heka.ai. Vous accompagnerez des Data Scientists, Software Engineers et DevOps Engineers dans des projets à forte composante Data, dans le but de répondre à des challenges techniques autour du stockage, du flux et du traitement de données.
Compétences requises- Pipelines de données : développement de scripts d'ETL dans des écosystèmes Big Data
- Infrastructures & Services adaptés au Machine Learning : veille technologique et mise en place de solutions utiles aux Data Scientists dans l'entraîne et la mise à disposition de leurs modèles de Machine Learning
- Programmation en Python : développement d'outils exécutés côté serveur (traitement de données en masse, exposition des données via des APIs, ...)
- Services Cloud : choix d'architecture, utilisation de services de stockage & calcul
Diplômé(e) d'une formation en École d'Ingénieur ou d'une formation de haut niveau dans le domaine des technologies de l'information, vous justifiez d'une première expérience d'au moins 2 ans en Data, DevOps, Cloud ou Software Engineering.
- Vous disposez d'un bon niveau en Python, vous permettant de qualifier, enrichir, et traiter de la donnée. C'est un plus si vous maïtrisez un autre langage de programmation
- Vous maïtrisez les bases de données relationnelles (PostgreSQL, SQLServer, ...) C'est un plus si vous maïtrisez un autre paradigme de base de données (Wide-column, Key-value, ...)
- Vous avez de l'expérience avec des outils de calcul distribué, tels que Hadoop ou Spark ou vous avez de l'expérience avec des outils de Machine Learning, tels que Tensorflow ou Torch
- C'est un plus si vous avez de l'expérience avec les services d'au moins une plateforme de services Cloud (GCP, AWS, Azure)
- Vous étes curieux(se) et aimez travailler en équipe ?
- Vous étes reconnu(e) pour votre sens de l'analyse et du service client ?
- Vous souhaitez rejoindre un environnement professionnel dynamique et motivant ?
- Vous partagez nos valeurs que sont l'excellence, l'entrepreneuriat, l'innovation, le partage, la bienveillance et l'équilibre vie personnelle/vie professionnelle ?
- Vous parlez français et anglais couramment dans un contexte professionnel ?
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