Main Mission & Tasks:
The role of the ‘Plant Data Engineer’ is to secure for his perimeter the data quality and to participate to the ontology building. For the project on going, he will support the key user and will ensure the good adoption of the solution by the plant

1. Data acquisition & creation
74 Ensure all sources of data are reliable.
74 Formalize and control the data acquisition, creation and maintenance processes to ensure data are accurate, safe and reflecting the operational reality any times.
74 Deploy standard routines to control data accuracy.
74 Lead progress plans to continuously improve the integrity and accuracy of incoming data.

2. Data analytics
74 Specify/formalize the plant needs in term of data analytics.
74 Develop basic data analytics solutions.
74 Identify resources within the organization to develop/provide more complex solutions.

Qualifications:
The ideal candidate will have/be:
74 Good knowledge of the data system for his perimeter
74 IT background
74 Minimum 3+ years of experience in working on industrial scale projects in Big Data.
74 Basic data analytics skills (statistics) and overall understanding of the data analytics methods available and of their potential.
74 Ability to deploy tools and conduct training / coaching sessions
74 Hands on experience on Pyspark/Python
74 Good knowledge of PL SQL/SQL.
74 Multi-functional & multi-cultural communication, Minimum bi-lingual (English required),
74 Customer orientation / Leadership / Team spirit / Autonomy