Geospatial Engineer

Responsibilities:

• Utilize open-source geospatial tools and libraries, particularly Python-based frameworks, for developing, implementing, and maintaining geospatial solutions.
• Conduct raster image processing and analysis using open-source software and Python scripting.
• Hands-on knowledge of QGIS, Erdas Imagine, Arc GIS and other Geospatial software.
• Develop and maintain geospatial databases and datasets, ensuring accuracy, reliability, and performance.
• Collaborate with cross-functional teams to gather requirements and design geospatial solutions that meet specific project needs.
• Perform data acquisition, integration, and quality assurance tasks for geospatial datasets.
• Design and implement geospatial algorithms and models using open-source tools.
• Provide technical support and troubleshooting for geospatial software and tools.
• Stay up-to-date with the latest advancements in open-source geospatial technologies and contribute to the adoption of best practices within the team.
• Document and communicate geospatial processes, methodologies, and results effectively.

Requirements:

• Bachelor's or Master's degree in Geospatial/Geomatics/Remote Sensing/GIS/Computer Science (or related) field with 2 -3 years of working experience in Geospatial projects.
• 2-3 years of professional experience in raster image processing and related geospatial fields.
• Strong proficiency in open-source geospatial tools and libraries, such as GDAL, QGIS, Rasterio, GeoPandas, and related tools.
• Excellent programming skills in Python and experience with Python-based geospatial libraries, such as GDAL, Rasterio, Fiona, Pandas, or GeoPandas.
• Hands-on experience with the Google Earth Engine.
• Familiarity with geospatial data management, spatial databases, data modelling, and PostgreSQL.
• Solid understanding of geospatial data formats, including raster and vector data.
• Experience with remote sensing data and satellite imagery analysis.
• Strong analytical and problem-solving skills with the ability to develop innovative geospatial solutions.
• Excellent communication skills, both written and verbal, with the ability to effectively present technical information to both technical and non-technical stakeholders.
• Ability to work collaboratively in a team environment, as well as independently on assigned tasks.
• Self-motivated with a strong desire to learn and keep up with emerging trends and technologies in the geospatial field.

Preferred Qualifications:

• Experience working with cloud-based platforms, such as Amazon Web Services (AWS)
• Knowledge of machine learning techniques and their application to geospatial data analysis.
• Exposure to spatial databases and geospatial web technologies, such as PostGIS, GeoServer, or similar tools, is an added advantage.
• Familiarity with web mapping frameworks and libraries, such as Leaflet, OpenLayers, or Mapbox GL JS, is an added advantage.
• Experience with version control systems, such as Git.
• Understanding Geo statistics and R programming is an added advantage.