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5 Sagri Co Jobs
Senior Remote Sensing Engineer
Sagri Co
posted 3mon ago
Job Role Insights
Key skills for the job
Job Description
- Lead the design, development, and deployment of remote sensing systems and methodologies for the MRV decarbonization platform
- Work closely with engineering and operations teams to understand requirements and translate them into effective mapping and visualization solutions
- Develop algorithms and models to analyze satellite imagery and other remote sensing data for agricultural monitoring and carbon measurement
- Create interactive and visually engaging maps and visualizations to illustrate agricultural activities and carbon emissions
- Utilize GIS tools and techniques to generate accurate and detailed maps, integrating real-time data for dynamic representation
- Ensure remote sensing processes and outputs accuracy, reliability, and scalability
- Provide technical leadership and mentorship to junior remote sensing engineers and other team members
- Work closely with domain experts, such as soil scientists and carbon market specialists, to ensure the integrity and applicability of remote sensing data
- Develop and implement the best remote sensing data acquisition, processing, and analysis practices
- Communicate complex remote sensing concepts and findings to internal and external stakeholders effectively
Ideal Profile
- You possess a Bachelors degree or Master s in Remote Sensing, Geospatial Science, Environmental Science, Computer Science, or a related field
- You have at least 5 years of experience in remote sensing, with a proven track record of leading remote sensing projects
- You have Strong expertise in satellite (Active / Passive - S1, S2, Landsat, Modis, etc.) imagery analysis, satellite data platforms (e.g., Sentinel Hub, Google Earth Engine), and data processing libraries (e.g., GDAL, Rasterio).
- You have proficiency in Python , R , or JavaScript for remote sensing data processing, and familiarity with GIS software such as QGIS or ArcGIS.
- You have extensive knowledge of GIS principles, mapping libraries (e.g., Mapbox, Leaflet), and data visualization tools (e.g., D3.js, Tableau).
- Strong understanding of multispectral and hyperspectral analysis for vegetation, soil health, and water management applications.
- You possess strong software engineering practices and a background in Python programming, debugging/profiling, version control, and system design
- You are experienced with APIs and integrating data from various sources
- You have hands-on experience with at least one cloud provider, such as GCP, AWS, or Azure
- You are familiar with machine learning techniques and their application to remote sensing data
- You have strong problem-solving skills and the ability to develop innovative solutions for complex challenges
- You have excellent communication and leadership skills, with the ability to work collaboratively in a cross-functional team environment
- You have a passion for sustainability, agriculture, and leveraging technology to drive positive environmental and social impact
Employment Type: Full Time, Permanent
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