Nous recherchons pour l'un de nos clients un(e) Ingénieur Big Data dans le cadre d'une ouverture de poste.


Vous rejoindrez une entreprise internationale, et notamment un projet essentiel (top 3 des projets de l'entreprise dans le monde) qui consiste à concevoir une station de recharge rapide pour véhicules électriques.


Projet IoT, et made in France.


Sous la responsabilité du Senior IoT Manager.


Selects and integrates any Big Data tools and frameworks required to provide requested capabilities

implements ETL process

monitors performance and advising any necessary infrastructure changes

defines data retention policies

works closely with a wide range of stakeholders and functional teams to capture the needs

collects and processes raw data at scale for a variety of projects and initiatives.

designs and develops data applications using selected tools and frameworks as required and requested for a variety of teams and projects.

reads, extracts, transforms, stage sand loads data to selected tools and frameworks as required and requested.

performs tasks such as writing scripts, web scraping, calling APIs, write SQL queries, etc.

works closely with the engineering team to integrate your work into our production systems. processes unstructured data into a form suitable for analysis.

analyzes processed data.

supports business decisions with ad hoc analysis as needed.

monitors data performance and modifies infrastructure as needed.Additional topics

Support proof of concepts for new technologies and solutions.

Supervise preparation and review of documentation.

Apply industry standard methodologies and frameworks.


Skills :

Azure Data Factory

Strong knowledge of and experience with statistics

Knowledge of data cleaning, wrangling, visualization and reporting, with an understanding of the best, most efficient use of associated tools and applications to complete these tasks. Experience in MapReduce is a plus.

Deep knowledge of data mining, machine learning, natural language processing, or information retrieval.

Experience processing large amounts of structured and unstructured data, including integrating data from multiple sources.

A willingness to explore new alternatives or options to solve data mining issues, and utilize a combination of industry best practices, data innovations and your experience to get the job done.

Experience in production support and troubleshooting.

You find satisfaction in a job well done and thrive on solving head-scratching problems.

Linux


Anglais obligatoire.


Déplacements à prévoir une fois par mois dans le Nord de la France.


Contexte : équipe pour l'instant composée de 8 personnes, amenée à se développer rapidement d'ici fin d'année (20 personnes). Possibilités d'évolution. Contexte international.


Avantages : CP, RTT, Tickets restaurants, CE.


Full Télétravail possible - Des locaux en région lyonnaise si vous habitez à côté.