Geo Data Cube API Developer
Started on April 2021, OGC Testbed 17 Innovation Initiative is a collaborative effort to rapidly prototype, design, develop and test solutions to location-related problems. Testbed-17 outcomes are expected to shape the future of geospatial software architectures, processing, and data handling.
The Earth Observation area is facing a major transformation, with the emergence of big EO data host services and big EO data analytic services beyond the traditional providers. As is perhaps inevitable in situations of rapid change, there are currently many self-organized initiatives. Testbed-17 will identify, develop, and promote emergent consensus: towards a neutral definition of Geo Data Cubes (GDCs) and a Web API for convenient, interoperable Geo Data Cube access and exploitation. Through the API, any GDC that supports the standardized interface can be accessed, allowing applications and users to make use of GDC data in an efficient, consistent way. An API can also allow users to understand capabilities of a GDC, for example its spatial resolution or temporal dimensions and granularity.
We are searching for a motivated SW developer to join and support our Testbed-17 technical team to develop the GDC service instance #3 in the context of terrestrial and marine elevation, and forestry data scenarios.
More info about the project can be found at: https://www.ogc.org/projects/initiatives/t17
• Develop an OGC API to support GDC interoperability
• Demonstrate access to and analysis/processing of GDC information through the proposed API via a cloud environment
• Bachelor’s or Master’s degree in Computer Science or relevant field with track record of UX/UI experience
• Experienced knowledge of python
• Demonstrable working experience on REST API design and implementation
• Familiarity with standards (OpenSearch, STAC, WMS, WCS, …)
• Working knowledge of version-control platforms (e.g. GitHub, GitLab)
• General knowledge of geospatial and remote sensing techniques
• Working knowledge of BASH scripting and geospatial packages (GDAL)
• Working knowledge of cloud environment (OpenStack, OpenNebula, AWS)