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Senior Geospatial Data Engineer - Remote Eligible
Optimize data processing systems to handle significant growth in geospatial data efficiently.
Remote
Senior
3 weeks ago
✨ About The Role
- The role involves working within the Data Ingestion team, focusing on ingesting satellite imagery and other geospatial data.
- Responsibilities include building and maintaining data pipelines and creating new processes to scale data processing capabilities.
- The candidate will optimize existing processes and reduce manual work in processing geospatial data.
- Performance and scalability are key focuses, ensuring processes can handle 3x year-over-year growth.
- The successful candidate will take a leadership role in key initiatives and mentor junior engineers on the team.
- Collaboration with other geospatial data engineers and cross-functional teams is a significant aspect of the job.
- The position is remote, allowing for flexibility in work arrangements.
âš¡ Requirements
- The ideal candidate is passionate about climate action and has a strong commitment to using technology for good.
- They should have approximately 6+ years of experience in Data Engineering, demonstrating a solid background in the field.
- A product-minded approach is essential, with the ability to showcase significant impacts made on a business through technology.
- Proven experience in geospatial data engineering is required, particularly with technologies such as Python, GDAL/OGR, and PostGIS DB.
- The candidate should be comfortable working in a cloud environment, specifically with GCP and Kubernetes.
- Excellent communication skills are necessary for effective collaboration within a cross-functional team.
- A passion for continuous learning and staying updated with evolving technologies is highly valued.
- The candidate must be based in the GMT/CET time zone to align with the team's working hours.
About Overstory
Real-time vegetation intelligence, at scale