Support the deployment of Chloris’ innovative technology for enterprise clients in the voluntary carbon markets and supply chain sustainability.
Work closely with data scientists and subject matter experts to design, test, and build the software at the core of our geospatial data processing engine.
Optimize and integrate code with data scientists to bring it to production.
Report to the Data (Engineering) Team Lead.
Requirements
Bachelor's degree in Computer Science, or related field, or equivalent work experience
3-5 years of professional software engineering experience
3-5 years of experience with Python or similar language
Understanding of Object Oriented and Functional Programming paradigms
Experience working with relational and/or NoSQL Databases
Independent and self-motivated with excellent problem-solving, analytical, and communication skills
Ideal candidates will have
Experience with AWS services such as Lambda, S3, and DynamoDB
Experience with Open Source Geospatial tools such as GDAL, Geopandas, Rasterio, Xarray, etc
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