Geospatial Imagery Data Engineer (for Imagery Vert...

Location: United States

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Minimum Requirements:
  • BSc degree in a geo-science, Image Science, Computer Science, Engineering, or Physics or relevant job experience
  • Minimum of 3-year experience with Python development language
  • Proven experience working with basic image processing workflows e.g. classification, vegetation indices
  • Knowledge in additional programming or scripting languages including but not limited to Java, Scala, javascript/ECMAscript
  • Experience developing HTTP APIs (Open API, REST, and/or GraphQL) which serve up data in an open-source technology, preferably in a cloud environment
  • Ability to build and maintain modern cloud architecture, e.g. AWS, Google Cloud, Azure, etc.
  • Experience working with PostgreSQL/PostGIS
  • Experience working with cloud object storage, e.g. AWS S3, Google Cloud Storage, etc.
  • Experience with code versioning and dependency management systems such as GitHub, SVT, and Maven. Git experience is strongly preferred
  • Proven success utilizing Docker to build, test, and deploy within a CI/CD Environment, preferably using Kubernetes and ArgoCD
Desirable qualifications:
  • MSc in Computer Science or related field
  • Knowledge of Highly proficient (5 years) in Python
  • Experience with advanced image processing workflows with LiDAR, multi/hyper-spectral imagery
  • Experience with photogrammetry techniques and/or geolocation and mensuration assessment experience
  • Experience with raw data handling from Unmanned Aerial Systems (UAS) and/or Satellite image collection platforms
  • Proficient with QGIS or similar desktop GIS environments with emphasis in imagery analytics
  • Experience with developing HTTP APIs using common Python frameworks (Flask, Django, FastAPI)
  • Proven experience (2 years) with distributed systems, e.g. Argo, Kubernetes, Spark, distributed databases, grid computing
  • Proficient (3+ years) working in a Command Line Interface system e.g Docker, Argo, K8s, AWS CLI, GCloud, pSQL, SSH
  • Experience with stream processing, e.g. Kafka
  • Knowledge of Geoserver, STAC, or other OGC standard technologies
  • Familiarity with agriculture and/or precision agriculture-oriented businesses
  • Experience implementing complex data projects with a focus on collecting, parsing, managing, and delivery of large sets of data to turn information into insights using multiple platforms.
  • Demonstrated experience adapting to new technologies
  • Experience with object-oriented design, coding and testing patterns as well as experience in engineering (commercial or open source) software platforms and large-scale data infrastructures should be present
  • Experience creating cloud computing solutions and web applications that can synthesize data from public and private API’s

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