Qualifications:
- Educational Background: Master’s in Geoinformatics, Remote Sensing, or related field; strong preference for candidates from preferably top-tier institutions.
- Experience: Minimum 3 years of experience in geospatial analysis, with a focus on satellite imagery, LiDAR, and GIS software.
- Technical Skills:
- Proficiency in GIS software (ArcGIS, QGIS) and remote sensing tools (ENVI, ERDAS).
- Experience with programming languages (Python, R) for geospatial data manipulation and analysis.
- Familiarity with cloud-based geospatial platforms like AWS S3, GCP Earth Engine, or Azure Maps.
- Strong understanding of spatial databases (PostgreSQL/PostGIS) and geospatial data standards (GeoJSON, WMS/WFS).
- Problem-Solving: Ability to solve complex spatial problems using data-driven approaches and innovative techniques.
- Communication: Strong presentation skills to convey complex geospatial information clearly to technical and non-technical stakeholders.
- Attention to Detail: High level of precision in geospatial data processing and analysis.
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