Job Description – Remote Sensing Expert
Location: Nashik, Maharashtra
Experience: 4–5 Years
Organization: Rotten Grapes Pvt. Ltd.
About Rotten Grapes Pvt. Ltd.
Rotten Grapes Pvt. Ltd. is a leading geospatial technology company specializing in GIS, Remote Sensing, Earth Observation, GeoAI, Spatial Analytics, and Decision Support Systems. We work with government agencies, research institutions, development organizations, and private enterprises to develop innovative geospatial solutions addressing challenges in agriculture, water resources, environment, urban planning, climate resilience, and sustainable development.
We are seeking a highly motivated and technically proficient Remote Sensing Expert to join our growing geospatial team and contribute to cutting-edge Earth Observation and spatial analytics projects.
Key ResponsibilitiesRemote Sensing & Earth Observation
- Process, analyze, and interpret satellite and aerial imagery from multiple sensors and platforms.
- Develop methodologies for Land Use/Land Cover (LULC) mapping, change detection, vegetation analysis, environmental monitoring, and natural resource assessment.
- Perform image preprocessing activities including radiometric correction, atmospheric correction, orthorectification, mosaicking, and classification.
- Generate geospatial products and thematic maps using multi-source Earth Observation datasets.
- Work with optical, multispectral, hyperspectral, and SAR datasets for various applications.
GIS & Spatial Analytics
- Conduct advanced spatial analysis and geospatial modeling.
- Develop geospatial databases and workflows for large-scale environmental, infrastructure, and resource management projects.
- Perform terrain analysis using Digital Elevation Models (DEM), Digital Surface Models (DSM), and LiDAR-derived datasets.
- Support development of geospatial decision support systems and web-based GIS applications.
Cloud-Based Geospatial Analytics
- Develop and deploy Earth Observation workflows using Google Earth Engine (GEE).
- Process and analyze large-scale satellite datasets using cloud computing platforms.
- Automate image processing, classification, and monitoring workflows using GEE and Python.
- Develop scalable solutions for near real-time geospatial analytics and monitoring.
Automation & GeoAI
- Develop automated geospatial workflows using Python and geospatial libraries.
- Apply Machine Learning and AI techniques for image classification, feature extraction, object detection, and predictive analytics.
- Support development of GeoAI solutions and advanced spatial intelligence products.
Project Execution & Collaboration
- Prepare technical reports, methodologies, project deliverables, and presentations.
- Collaborate with GIS analysts, software developers, environmental scientists, hydrologists, and domain experts.
- Support proposal preparation, technical documentation, and research publications where required.
- Ensure timely delivery of project outputs while maintaining quality standards.
Required QualificationsEducation
- Master's Degree in Geo-informatics, Remote Sensing, GIS, Geospatial Sciences, Environmental Sciences, Geography, or related disciplines.
- PhD in Remote Sensing, Earth Observation, Geo-informatics, or related field will be an added advantage.
Experience
- 4–5 years of professional experience in Remote Sensing, GIS, and Earth Observation projects.
- Proven experience in satellite image analysis and geospatial data processing.
Required Technical SkillsRemote Sensing
- Satellite image processing and analysis
- Image classification and feature extraction
- Change detection analysis
- Time-series Earth Observation analysis
- Experience with optical and SAR datasets
GIS & Geospatial Tools
- ArcGIS Pro / ArcGIS Enterprise
- QGIS
- ERDAS Imagine and/or ENVI
- Spatial analysis and geoprocessing
Google Earth Engine
- Strong hands-on experience in Google Earth Engine (GEE)
- Development of cloud-based Earth Observation workflows
- Large-scale satellite data processing and analysis
- JavaScript and/or Python APIs for GEE
Programming & Automation
- Python programming
- GDAL/OGR
- Rasterio
- GeoPandas
- NumPy
- Pandas
- Jupyter Notebooks
Data Sources
- Sentinel Series
- Landsat Series
- MODIS
- PlanetScope
- Cartosat
- UAV and Drone-based datasets
Desired Skills (Good to Have)Hydrological Modeling & Water Resources Applications
Experience in one or more of the following areas will be considered an advantage:
- Watershed delineation and terrain analysis
- Hydrological and water resources assessment using GIS and Remote Sensing
- Flood inundation mapping and risk assessment
- Runoff estimation and watershed management studies
- Experience with tools such as:
- SWAT
- HEC-HMS
- HEC-RAS
- MIKE Suite
- WEAP
GeoAI & Advanced Analytics
- Deep Learning for Earth Observation
- Object detection from satellite imagery
- GeoAI model development
- Cloud-native geospatial analytics
Desired Competencies
- Strong analytical and problem-solving skills.
- Ability to work independently and manage multiple projects.
- Excellent communication and technical writing skills.
- Research-oriented mindset and attention to detail.
- Ability to convert complex geospatial datasets into actionable insights.
- Strong teamwork and collaboration skills.
What We Offer
- Opportunity to work on impactful national and international geospatial projects.
- Exposure to cutting-edge technologies in Earth Observation, GeoAI, Google Earth Engine, and Spatial Analytics.
- Collaborative and innovation-driven work environment.
- Professional growth through research, training, and technology development initiatives.
- Flexible work culture with performance-driven growth opportunities.
Apply Now
Interested candidates may send their updated CV, project portfolio, and relevant publications (if any) to:
Email: [email protected]
website: www.rottengrapes.tech
Benefits:
- Flexible schedule
- Provident Fund
Work Location: In person
