Geospatial Engineer

SatSure Analytics India; Bengaluru; On-site; INR 900,000 - 1,300,000; Full time

Job summary

SatSure Analytics India is seeking a Geospatial Engineer to join the Data Generation team in Bengaluru. You will work with satellite imagery, boundaries, weather data, and other geospatial datasets to build impactful solutions using cutting-edge technology in a collaborative environment.

The role requires 2–3 years of hands-on experience in raster processing, Python-based geospatial libraries, and familiarity with GIS software.

Qualifications

• 2-3 years of working experience in Geospatial projects
• 2-3 years of professional experience in raster image processing and related geospatial fields
• Proficiency with open-source geospatial tools and libraries such as GDAL, QGIS, Rasterio, GeoPandas
• Excellent Python programming skills and libraries (GDAL, Rasterio, Fiona, Pandas, GeoPandas)
• Hands-on experience with Google Earth Engine
• Familiarity with geospatial data management, spatial databases, data modelling, and PostgreSQL
• Understanding of geospatial data formats (raster and vector) and remote sensing data
• Strong analytical and problem-solving skills with ability to develop geospatial solutions
• Excellent written and verbal communication to present technical information
• Ability to work collaboratively and independently, with a learning mindset

Responsibilities

• Utilize open-source geospatial tools and Python-based frameworks to develop, implement, and maintain geospatial solutions
• Conduct raster image processing and analysis using open-source software and Python scripts
• 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
• Perform data acquisition, integration and quality assurance 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 updated with latest geospatial tech and promote best practices within team
• Document and communicate geospatial processes and results effectively

Skills

Python programming

Geospatial analysis

Problem solving

Team collaboration

Education

Geospatial/Geomatics/Remote Sensing/GIS/CS degree

Tools

GDAL

QGIS

Rasterio

GeoPandas

Fiona

Pandas

PostgreSQL

Google Earth Engine

Job description

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)