Hadoop, Apache Spark, and Kafka to ensure scalability, fault tolerance, and speed. Geospatial Data Integration: Develop systems that integrate geospatial data from a variety of sources (e.g., satellite imagery, remotesensing, IoT sensors, and GIS data) and process this data for use in data analytics applications. Ensure geospatial data is processed, stored, and queried efficiently to meet operational … data, data analytics, or geospatial data. Strong background in developing big data applications, data pipelines, and distributed systems. Proven experience working with geospatial data, including GIS, satellite imagery, and remotesensing data, and integrating it into data-driven applications. Familiarity with geospatial data formats (e.g., GeoJSON, Shapefiles, KML) and tools (e.g., PostGIS, GDAL, GeoServer). Technical Skills: Expertise More ❯
through technical support REQUIREMENTS AND QUALIFICATIONS 5+ years of production experience, delivering high quality products to clients Master’s level or above in a relevant discipline (Geodesy, Earth Science, RemoteSensing, Engineering – for example Civil, Electrical, etc.) Knowledge of agile software development practices and ability to participate in development planning and prioritization sessions Understanding of the fundamentals of earth observation satellites More ❯
through technical support REQUIREMENTS AND QUALIFICATIONS 5+ years of production experience, delivering high quality products to clients Master’s level or above in a relevant discipline (Geodesy, Earth Science, RemoteSensing, Engineering – for example Civil, Electrical, etc.) Knowledge of agile software development practices and ability to participate in development planning and prioritization sessions Understanding of the fundamentals of earth observation satellites More ❯
value insights and solutions, including: Developing generative AI tools for geospatial risk assessment Building models to project the impact of floods, cyclones, heat stress etc Leveraging satellite imagery and remotesensing for climate hazard detection Enhancing time-series forecasts to inform asset-level risk planning Combining simulation outputs with ML for hybrid physical + statistical modelling What We More ❯
value insights and solutions, including: Developing generative AI tools for geospatial risk assessment Building models to project the impact of floods, cyclones, heat stress etc Leveraging satellite imagery and remotesensing for climate hazard detection Enhancing time-series forecasts to inform asset-level risk planning Combining simulation outputs with ML for hybrid physical + statistical modelling What We More ❯
