Geospatial Data Engineer
3 days ago
GHGSat, Inc. is a pioneering organization in the field of geospatial data analysis and emissions tracking.
About the JobWe are seeking an experienced Geospatial Data Engineer to join our team based in London, UK.
Job SummaryThe successful candidate will play a crucial role in building and optimizing our geospatial data and AI/ML pipelines to support GHGSat's mission of driving climate impact.
Key Responsibilities:- Data Pipeline Development
- Design, implement, and optimize scalable geospatial data and AI/ML pipelines.
- Integrate new data sources, including satellite and terrestrial, both public and proprietary.
- Re-engineer and validate existing pipelines, ensuring high-quality and performance standards.
- Geospatial Data Management
- Blend and process various geospatial data sources to create artifacts for exploratory analysis and insights.
- Build scripts and automations for geospatial data processing, using tools like QGIS, GeoPandas, Rasterio, Xarray, and rioxarray.
- Conduct geospatial analysis and contribute to mapping and visualization.
- Automation and Deployment
- Contribute to the automation of testing, deployment, and monitoring of data pipelines and AI/ML models using Airflow, Docker, and AWS services.
- 2-4 years of experience in data engineering, with specific expertise in geospatial data processing and analysis.
- Proficiency in Python and experience with libraries like Pandas, NumPy, SciPy, and scikit-image.
- Experience with geospatial libraries such as GeoPandas, Rasterio, Xarray, rioxarray, and QGIS.
- Familiarity with SQL and geospatial databases (e.g., PostgreSQL/PostGIS).
- Comfortable with cloud infrastructure (AWS preferred), containerization tools (Docker), and version control (Git).
- Knowledge of AI/ML concepts applied to geospatial data is a plus.
- Knowledge of frameworks like ClearML and STAC is beneficial.
GHGSat offers a competitive salary of £80,000 per annum, flexible working hours, and opportunities for professional growth and development.
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