The Role
Develop and maintain geospatial solutions using satellite imagery, raster and vector data, weather datasets, and geospatial databases. Responsibilities include Python-based raster processing, spatial data acquisition and quality assurance, algorithm development, database management, technical support, and collaboration with cross-functional teams. The role requires expertise in open-source geospatial tools, remote sensing, Google Earth Engine, PostgreSQL, and geospatial data formats.
Summary Generated by Built In
We are hiring for a Geospatial Engineer to join our Data Generation team, working with satellite imagery, boundaries, weather data, and other geospatial datasets to build impactful solutions using cutting-edge technology in a collaborative and innovation-driven environment.
About SatSure
SatSure is a deep tech, decision Intelligence company that works primarily at the nexus of agriculture, infrastructure, and climate action creating an impact for other millions, focusing on the developing world. We want to make insights from earth observation data accessible to all.
We are looking for a Geospatial Engineer, for the R&D team. The applicant will work with various datasets like satellite imageries, boundaries, weather data, etc. The applicant is expected to undertake the research and operational works as and when required. If you are interested in working in an environment that focuses on the impact on society, driven by cutting-edge technology, and where you will have the freedom to work on innovative ideas and be creative with no hierarchies, SatSure is the place for you.
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.
Interview Process:
- Introductory call
- Interview rounds (ideally up to 2-3 rounds)
- Assignment/Coding Round
- Culture Round / HR round
No of Positions:1
Skills Required
- Bachelor's or Master's degree in Geospatial, Geomatics, Remote Sensing, GIS, Computer Science, or a related field
- 2-3 years of professional experience in geospatial projects
- 2-3 years of experience in raster image processing and related geospatial fields
- Proficiency with open-source geospatial tools and libraries, including GDAL, QGIS, Rasterio, and GeoPandas
- Strong Python programming skills and experience with Python geospatial libraries
- Hands-on experience with Google Earth Engine
- Familiarity with geospatial data management, spatial databases, data modeling, and PostgreSQL
- Understanding of raster and vector geospatial data formats
- Experience with remote sensing data and satellite imagery analysis
- Strong analytical and problem-solving skills
- Excellent written and verbal communication skills
- Ability to work collaboratively and independently
- Experience with cloud-based platforms such as AWS
- Knowledge of machine learning techniques applied to geospatial data
- Exposure to PostGIS, GeoServer, or similar geospatial technologies
- Familiarity with Leaflet, OpenLayers, or Mapbox GL JS
- Experience with Git
- Understanding of geostatistics and R programming
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The Company
What We Do
SatSure is a deep-tech decision-intelligence company working at the intersection of agriculture, infrastructure, and climate action. It transforms satellite data into actionable insights that enable faster, smarter, and more responsible decisions, particularly in underserved regions. The company applies geospatial intelligence and advanced analytics to complex real-world challenges, supporting more informed choices across sectors while contributing to sustainable development and climate resilience worldwide.
