Test / Screening Fee:
0.00Courier Charges:
0.00Basic Processing Charges:
400.00Total Charges:
400.00Test / Screening Fee:
0.00Courier Charges:
0.00Advance Processing Charges:
800.00Total Charges:
800.00Khyber Pakhtunkhwa
Sindh
AJK
Punjab
Gilgit Baltistan
Balochistan
Islamabad
FATA
Qualification and experience:
BS/MS in Geoinformatics, GIS & Remote Sensing, Data Science or related fields.
Experience: At least seven (07) years of experience with minimum five (05) year experience in landmark national and international projects of similar nature. Proficiency in integrating heterogeneous datasets from multiple sources and formats, including vector data (e.g., shapefies, GeoJSON) and raster data (eg, satelite imagery, elevation models) from international data hubs and open data repositories. Understanding of spatial DBMSs (eg, PostGIS, Oracle Spatial) and data interoperability standards (e.g., OGC standards) and experience with data transformation, conversion, and harmonization is essential Expertise in designing GIS database schemas, schema transformations, optimize query performance, generating metadata, and manage large volumes of spatial data efficiently. Strong analytical skills for performing spatial analysis, geoprocessing, and spatial statistics using open-source GIS software (e.g., QGIS, GRASS) and programming libraries (e.g.. GDAL GeoPandas). Ability to derive meaningful insights from spatial data and apply geospatial analysis techniques to solve complex problems, Proficiency in data visualization techniques and tools for creating maps, charts, and interactive visualizations to communicate spatial data effectively. Experience with visualization Ibraries (e.g., D3.js. Leaflet, Mapbox) and designing user-friendly interfaces for exploring and interacting with spatial data and models. Understanding of open data principles, licensing terms, and policies governing the sharing and use of open geospatial data. Working experience with open data initiatives such as OpenStreetMap (OSM), Copernicus Open Access Hub, and government data portals. Proficiency in programming languages commonly used in GIS and data management, such as Python, R, SQL, and JavaScript. Ability to develop custom scripts, automation workflows, and web services for data processing, analysis, and dissemination.
Instruction:
Please review and read the attached advertisement before processing.