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Lead Software Engineer, Data Engineering (W/M) posté par Air Liquide

CDI - temps plein
Paris
N/A
8 Candidatures

Description de l'offre

Présentation du Groupe

Leader mondial des gaz, technologies et services pour l’industrie et la santé, Air Liquide est présent dans 80 pays avec environ 68 000 collaborateurs et sert plus de 3 millions de clients et de patients. Oxygène, azote et hydrogène sont au cœur du métier du Groupe depuis sa création en 1902. L’ambition d’Air Liquide est d’être le leader dans son industrie, en étant performant sur le long terme et en agissant de façon responsable.



Missions & Responsabilités

Are you passionate about data programming languages (Python, Scala, R, Java, SQL) ?

Do you have leadership experiences in datalab, data factory or entrepreneurship projects including software engineering ?

Are you interested in joining a team exploring deeply diverse activities and industries ?

The Data Factory is looking for specialists in data management and data analytics software who want to work on datasets provided by operational systems, IT systems and public entities, including but not limited to plants, cylinders, communication systems, healthcare, transportation, and engineering. As Lead Data SW Engineer, your responsibilities include working with colleagues, collaborators and sponsors to:

  • Collaborate with data scientists to identify opportunities and aggregate data in an actionable way
  • Design the architecture of the Data Factory platform enabling a variety of data projects
  • Decide the appropriate make or buy strategy for building and running this platform
  • Prototype, develop and integrate the relevant components of this platform (back and front ends) through an iterative approach
  • Run the data platform at the early stage with internal and external users
  • Evaluate the platform both at technical and usage levels
  • Hand over the platform to operational teams


Profil et compétences

  • Do you have the following competencies and profile ?

    • Master degree or PhD from an engineering school or university
    • Five to eight years related work experience.
    • Proficiency in data programming languages such as Python, Scala, R, Java, SQL and web development such as HTML, CSS, Javascript; familiarity with open source data architecture such as hadoop, hdfs, pig, hive, scikitlearn, mllib; familiarity with nosql databases such as mongodb, couchdb; familiarity with I/O architecture such as node.js; relevant skills for interpreting, analyzing, and pre-processing data; a basic knowledge of GIS or the mapping and use of geographic point and polygon location information; proficiency with agile scrum methodology.
    • Leadership, doer mindset, capacity to collaborate with other specialists and experts, innovative mindset, solution driven, consensus builder, at ease communicating in an international environment, team player, fluent English.

Numéro de référence

FR04302

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