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GalaxEye • Devanahalli, Karnataka, India
Role & seniority: Image Analyst, entry-level / fresher-friendly; member of Data Operations focusing on QA/QC of EO data products
Stack/tools: GIS/RS software (QGIS, ArcGIS, SNAP, ENVI); internal QC tooling and automation scripts; basic programming (Python or MATLAB)
Perform QA/QC on SAR, MSI, and SyncFused data to identify artifacts, distortions, and accuracy issues; assess radiometric, geometric, and thematic quality
Manage QC processes: run automated checks, maintain logs, anomaly reports, and reprocessing status
Collaborate with Data Processing Engineers and Cal/Val teams; prepare quality reports and support workflow improvements
Bachelor’s or Master’s in Remote Sensing, Geoinformatics, GIS, Geophysics, Electrical Engineering, or related field
Knowledge of EO principles, image processing basics, and coordinate systems/geodesy
Proficiency with QGIS/ArcGIS/SNAP/ENVI; strong attention to detail and systematic problem-solving
Familiarity with SAR concepts (polarization, interferometry)
Experience in data calibration/validation or QA-related work
Interest in satellite technologies and processing workflows
Location & work type: Location not specified; likely full-time with potential rotational shifts depending on operational needs
Job Description
The Image Analyst will be an important member of the Data Operations team, responsible for the Quality Assurance (QA) and Quality Control (QC) of GalaxEye’s Earth Observation (EO) data products. The role involves detailed inspection and validation of raw and processed SAR, MSI, and SyncFused datasets to ensure the highest radiometric, geometric, and thematic accuracy before customer delivery.
Shift Requirement: May be required to work in rotational shifts depending on operational needs.
Key Responsibilities
Quality Assurance and Control (QA/QC)
SAR Data
Perform visual and quantitative checks to identify artifacts, calibration issues, or geometric distortions.
MSI (Optical) Data
Perform QC checks for cloud cover, haze, sensor noise, and atmospheric correction quality. Verify band-to-band registration accuracy. Assess orthorectification and geometric accuracy against reference data.
Inspect fused outputs to ensure coherence and seamless integration of SAR and optical data. Identify and document artifacts introduced during the fusion process.
Process Management
Use internal software tools and automated scripts for routine QC monitoring and metric generation. Maintain QA/QC logs, anomaly reports, and correction status databases. Documentation & Collaboration Work closely with Data Processing Engineers and Cal/Val teams to resolve data anomalies. Prepare detailed quality reports summarizing issues, performance metrics, and required reprocessing. Contribute to improvements in QA/QC workflows and standards.
Requirements
Required Qualifications (Entry-Level / Fresher-Friendly)
Education: Bachelor’s or Master’s degree in Remote Sensing, Geoinformatics, GIS, Geophysics, Electrical Engineering, or related analytical fields.
Core Knowledge: Understanding of EO principles, image processing basics, and coordinate systems/geodesy.
Software Proficiency: Hands-on experience with GIS and remote sensing tools such as QGIS, ArcGIS, SNAP, or ENVI.
Technical Skills: Basic programming or scripting (Python, MATLAB) is highly desirable.
Mindset: Strong attention to detail, good organization, and a systematic approach to problem-solving.
Desired Skills (Bonus)
Familiarity with SAR concepts (polarization, interferometry). Experience in data calibration, validation, or QA-related academic/professional work. Interest in learning satellite technologies and processing workflows.
Benefits
Competitive salary Health insurance Opportunity to work on next-generation EO technologies Dynamic and collaborative work culture Learning and career growth opportunities
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