Senior Engineer, Data Engineering
il y a 3 semaines
Our Data Storage Team is looking for a talented and ambitious new Data Engineer to join in HQ (Marly).
Industrialize data integration, data cleansing, data analytics programs or data management processes.
Contribute to the design, development, testing, deployment, performance in production and maintenance of the data-centric software including APIs, cloud-based architectures, libraries, toolbox.
Liaise with the Business Analysts, Data Scientists, Analytics specialist or Architects to understand how data needs to be: extracted, converted/transformed, loaded and exposed; Help the Data Architect to create an overview of the Data Lineage (from data flows, data transformations inside applications).
Provide clear documentation of the business rules embedded in the systems and potentially manage or help solving Data Quality issues.
Degree in Computer Science or relevant data field
working in projects in Data Engineering, Big Data and/or Cloud environment using Apache Spark
Working experience with Cloudera Data Platform is a plus
Structured yet agile approach - with good knowledge of the scrum agile methodology
Languages: SQL; Python
Big Data & Streaming technologies (Hadoop/HDFS, Spark…)
Fluency in written and spoken English
A full- time job in a dynamic, passionate, international team
Competitive salary (bonus, benefits)
We look forward to receiving your application in English.
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Notre équipe Data Storage est à la recherche d'un Data Engineer H/F talentueux et ambitieux pour rejoindre notre équipe au siège social.
Lyreco est le leader européen et le troisième distributeur mondial de produits et services pour l'environnement de travail. Afin de garantir le développement de nos employés, nous leur offrons une formation continue et une mobilité interne lorsque nous recrutons pour un poste vacant - Chez Lyreco, tout est possible
Contribuer à la conception, au développement, aux tests, au déploiement, à la performance en production et à la maintenance des logiciels axés sur les données, y compris les API, les architectures basées sur le cloud, les bibliothèques et les boîtes à outils.
Collaborer avec les analystes métier, les data scientists, les spécialistes de l'analyse ou les architectes pour comprendre comment les données doivent être : extraites, converties/transformées, chargées et exposées ; Formation supérieure en informatique (Bac+4/5) ou en Big Data
Expérience dans le domaine du e-commerce travaillant sur des projets de Data Engineering, Big Data et/ou en environnement Cloud en utilisant Apache Spark Bonnes connaissances de la plateforme de données Cloudera *
Approche structurée mais agile, avec une bonne connaissance de la méthodologie agile Scrum
Bonnes connaissances des langages : SQL ; Python Technologies Big Data & Streaming (Hadoop/HDFS, Spark…) , bases de données NoSQL (par exemple, Hbase, MongoDB…)
Maîtrise de l'anglais écrit et parlé
Une expérience dans un environnement international.
Prime sur objectifs.
Prime de participation et prime d'intéressement.
Des actions en faveur de l'équilibre vie professionnelle/ vie personnelle (conciergerie d'entreprise, associations sportives, plateforme de covoiturage, crèche d'entreprise).
« Télétravail.
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