Data Engineer - Solar AI Technologies｜Meet.jobs

Care about climate change and want to build technology to solve it? Aspire to shape and contribute to a fast-growing technology start-up as an early employee? This is your opportunity.

At Solar AI, we want to use technology to simplify the solar experience for everyone. By combining geospatial analysis of satellite imagery with big data and artificial intelligence, Solar AI provides project developers and installers with access to building intelligence for rooftop solar.

Solar AI Technologies is a seed stage start-up funded by and incubated as part of ENGIE Factory, the dedicated venture arm for ENGIE Group in Asia-Pacific. Our founding team, Bolong and Ariel came from a background of working with global technology companies and Series A to D stage start-ups across Southeast Asia, Latin America and Europe.

Find out more at https://getsolar.ai.

What you’ll be responsible for

• Develop and maintain a data lake with mixed data types such as satellite imagery, GIS and structured data
• Assist on the creation of an end to end AI system through pipelining different data and machine learning modules
• Create data extraction tools to obtain information from different data sources and solutions (APIs, FTP, cloud storage)
• Create custom data wrangling processes to allow standardized data consumption that feed ML models
• Work with GIS data and find methods to optimize the extraction of features from it
• Setup orchestration methods for each of the processes inside the team
• Research and test new data sources or innovative methods to extract information (e.g. data scrappers)

The skills we’re looking for

• Python as main known language
• Knows how to deliver code from development to production
• Data engineering Python ecosystem: Pandas, Dask, PySpark, GeoPandas
• ETL design and implementation
• Knowledge of relational databases and SQL (e.g. PostgreSQL with PostGIS extension)
• Experience working with pipeline orchestration tools (i.e. AirFlow, Jenkins, Luigi, etc)
• DevOps experience on AWS/GCP (nice to have: Docker and Kubernetes) … with bonus points for the following
• Experience working with GIS data and handling satellite imagery
• Knowledge on software engineering good practices, testing and design patterns
• Experience with RESTful APIs (implementation and consumption)
• Experience working with Agile software development frameworks (scrum, kanban, etc)
• Data Science python ecosystem: Numpy, Sckit-learn, Jupyter

Employment type and location
This is a full-time position, based out of Singapore.

How to apply
We encourage interested applicants to write a short cover note stating why you want to join us. Please send your CV and cover note to jobs@getsolar.ai. We review applications on a rolling basis, and unfortunately may only reach out to shortlisted applicants. Thank you for your patience and understanding.

*Solar AI Technologies is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, colour, gender, religion, sexual orientation, age, marital status, or disability status.
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