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You will join the new DATA team, in charge of handling geoscientific data throughout the entire value chain, from the upstream stages of structuring the data according to international standards to diffusing them via web services, by involving all parties handling data at the BRGM.
You will be in charge of :
-Geoscience data management, i.e.
.Organizing the BRGM's geoscientific data (good practices, organization of the data according to FAIR data principles) ;
.Setting up tests to control the data, perform quality control checks, guarantee data quality ;
.Integrating digital data into scientific databases (PostgreSQL) using ETL processes, such as FME, Talend, Pentaho ;
.Cataloguing data ;
.Ensuring the proper vizualization/dissemination of data - especially geographic data - on the Internet via web services utilizing GIS data management applications (ArcGIS, QGIS, Grass, PostGIS), as well as SQL and spatial cartriges in an open source environment, and solutions such as MapServer/Geoserver
.Handling 2D/3D visualization tools (Threed data server, Rasdaman, etc...) and OGC standards ;
.Participating in feeding the registers and the data catalogue ;
.Drafting procedures and user documentation.
You will mobilize the following skills:
Proven experience and skills required:
.Sound knowledge of environmental or geoscientific data ;
.Geographic data knowledge, as well as experience with the associated spacial data tools (Qgis,...);
.Mastery of relational databases (PostgreSQL/PostGIS). Knowledge of NoSQL databases and and UML modeling would be a plus;
.Experience in technical data management using ETL tools (FME, Talend, Pentaho) and the development of data integration procedures (into PostGres),
.Mastery of at least one programming language (Python, R, or Java...).
You have a master's degree in computer science or applied sciences, with a specialization in data management. You have at least 5 years of experience in management of technical data, ideally in the geo-scientific or environmental field. You wish to evolve in a stimulating scientific context.
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