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Job Description
The role involves developing and maintaining geospatial data pipelines and infrastructure to process and serve satellite imagery and Earth Observation data, supporting advanced geospatial applications and digital twin initiatives within a collaborative, innovative environment.
Key Responsibilities
- Build and maintain automated pipelines to process and serve satellite data
- Integrate new data sources into the platform, ensuring discoverability and usability
- Manage cloud-native data integration from object storage services like AWS S3
- Develop solutions for data visualization and connecting data streams to dashboards
- Implement metadata standards such as STAC for data searchability and interoperability
- Collaborate with engineers, scientists, and project managers to develop geospatial infrastructure
- Create technical documentation for services and pipelines to ensure sustainability
Requirements
- Minimum of 4 years experience in a technical role such as data scientist or software developer within a multidisciplinary team.
- Bachelor's degree in Geoinformatics, computer science, physical science, engineering, or a comparable field of study.
- Proficiency in Python for data processing and backend development, including experience with RESTful APIs, GDAL, geopandas, rasterio, and xarray.
- Experience working with raster data, ideally geospatial formats like Cloud-Optimized GeoTIFFs (COGs).
- A commitment to code quality, demonstrated by hands-on experience in writing tests and building a culture of quality assurance.
- Solid understanding and hands-on experience with CI/CD principles and pipelines for automating data delivery.
- Familiarity with cloud object storage solutions such as AWS S3 or similar.
- Willingness to learn quickly and take on unfamiliar tasks.
- Proactive and solution-focused attitude, with an eagerness to improve data pipelines and contribute innovative ideas to the team.
Benefits & Perks
Paid time off including vacation, holidays and company-wide days off
Employee Wellness Program
Home Office Reimbursement
Monthly Phone and Internet Reimbursement
Tuition Reimbursement and access to LinkedIn Learning
Equity
Volunteering Paid Time Off
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