Convert, integrate, and standardize geospatial mining data from diverse sources and formats into VRIFY’s GIS environment.
Import and export client data using defined, process-specific workflows.
Validate data accuracy, consistency, and spatial integrity throughout the conversion process.
Analyze client datasets and apply critical thinking to deliver high-quality outputs tailored to client needs.
Create clear, visually compelling 2D maps (e.g., mine boundaries, infrastructure, proximity analysis) to support 3D models and presentations.
Collaborate with peers to improve data workflows, tooling, and documentation.
Deliver high-quality outputs on time, without hand-holding.
Serve as a technical point of contact for customer issues related to data ingestion, platform behavior, and system workflows.
Investigate application and system logs to identify where and why issues are occurring.
Triage problems effectively: distinguish between data issues, configuration errors, platform limitations, and software defects.
Apply quick fixes or workarounds when possible to unblock customers.
Clearly document issues, findings, and reproduction steps when escalating to the Engineering team.
Collaborate closely with developers to validate fixes and confirm resolutions.
Provide clear, technically accurate explanations to customers - no hand-waving, no jargon dumps.
Help improve internal runbooks, troubleshooting guides, and support processes over time.

Requirements

Bachelor’s degree or diploma in Computer Science, Geography, Geology, GIS, Environmental Science, or a related field with a strong GIS focus.
Less than 2 years of experience in GIS, data management, technical support, or a related technical role.
Familiarity with customer-facing technical environments is a strong asset.
Knowledge of geology and/or the mining industry is a plus, not a prerequisite.
GIS & Data Working knowledge of GIS fundamentals, including coordinate systems and spatial data concepts.
Hands-on experience with GIS tools such as ArcGIS or QGIS.
Experience converting geospatial data formats (e.g., CSV, shapefiles, GeoTIFF, KML/KMZ).
Ability to georeference raster and vector datasets.
Experience digitizing point, line, and polygon features.
Basic cartography skills (legends, labels, north arrows, clean layouts).
Basic programming skills, preferably Python, including modifying scripts for automation and efficiency.
Familiarity with databases and basic SQL is an asset.
Technical Troubleshooting Basic knowledge of AWS or comparable clouds.
Ability to read and interpret system and application logs.
Comfort tracing issues across data, configuration, and application layers.
Strong analytical mindset for root-cause analysis.
Ability to communicate technical findings clearly to both engineers and non-technical users.

Benefits

Remote, flexible work environment
Competitive salary: 90,000 to 95,000
Exposure to real-world AI, geospatial data, and customer-facing problem solving
A role with room to grow into data engineering, platform support, or operations

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

GISdata managementgeospatial data conversioncoordinate systemsspatial data conceptsArcGISQGISPythonSQLcartography

Soft Skills

critical thinkingcollaborationcommunicationanalytical mindsetproblem-solvingdocumentationcustomer supportattention to detailtime managementtechnical troubleshooting