job

• University Degree in Engineering (telecommunication, electronic, aerospace, software) or Physics or Remote Sensing related fields
• Relevant Post graduate studies (MsC or PhD) on applied Earth Observation (EO) remote sensing applications or related fields
• Earth Observation work experience in at least in one of the following:
• EO data, in particular SAR and optical, analysis and exploitation
• EO systems/applications design, development, integration, verification and validation
• EO users community support and requirements analysis
• EO research for algorithms development and validation

Knowledge and Skills:

• Knowledge of European and ESA space programmes, in particular Copernicus
• Knowledge and ability in EO data processing techniques
• Practical experience with the ESA software packages (Sentinels Toolboxes, NEST, BEAM)
• Practical experience with image processing software and GIS tool (e.g. ERDAS, ENVI, GDAL, QGIS)
• Programming skills for data analysis and image processing in at least one of the following languages: Python, IDL, Matlab, C, C++, C#, Java
• Advanced knowledge of Bash or Python scripting
• Knowledge of database and SQL language
• Knowledge of Linux environments, in particular Ubuntu and RHEL based distributions

Attitude and Personal Skills:

• Ability to work in team but autonomous in managing the assigned task
• Good communication capabilities with all stakeholders in the working environment
• Ability to write technical and scientific documentation
• Ability to self-organize the workload and to assign tasks priorities
• Multi-tasking capabilities
• Focused on customer and users satisfaction
• Dynamic and proactive with also problem solving attitude
• Interest and motivation in working on a international environment

Requested Language:

• Fluent English both written and spoken

• University Degree in one of the following fields: Computer Science, Engineering (software, telecommunication, electronic, aerospace), Data Science, Physics
• Work experience in at least in one of the following:
• Big Data analysis and processing
• High Performance Computing
• Grid and Cloud technologies
• Software design, development, integration, verification and validation
• Client/Server applications administration, operation and maintenance

Technical Knowledge and Skills:

• Big Data analysis and processing techniques
• Knowledge of High Performance Computing frameworks
• Experience in Grid/Cloud computing environments
• Experience in archiving and managing large data sets (multi TBs scale)
• Knowledge of distributed file systems
• Knowledge of relational and non-relational databases
• System monitoring and statistics
• Advance programming skills for data analysis and processing in at least one of the following languages: Python, IDL, Matlab, C, C++, C#, Java, R
• Advanced knowledge of Bash or Python scripting
• Knowledge of Linux environments, in particular Ubuntu and RHEL based distributions

Attitude and personal skills:

• Ability to work in team but autonomous in managing the assigned task
• Ability to self-organise the workload and to assign tasks priorities
• Ability to write technical documentation
• Dynamic and proactive with also problem solving attitude
• Interest and motivation in working on a international environment

Requested Language:

• Fluent English both written and spoken