Description :
We design B2B services on real-time data for for commodity traders.
We aggregate data from hundreds of sources, ranging from satellite data to governmental and shipping databases, and run algorithms on top of it to predict the flows of energy. Dataviz with maps and charts make the information actionable.
Position
You will participate in the evolution of our platform app.kpler.com (code, test, deployment, support) and derived applications with the aim of extracting (API, scraping), consolidating, (ETL), and applying algorithms (data-mining, business rules) on large data sets, and make them available (Postgres, ElasticSearch).
For example, you will improve our vessel destination forecast algorithm.
You will be tested on, and expected to work with the following stack :
Python, Posgresql, SQLAlchemy, ElasticSearch, AWS...
The technical team works in lean mode to continually improve our SaaS applications and API.
Requirements
IT or Engineer student in last year of studies, you have already worked on projects around data processing (ETL, data streaming, data mining ...) in Python and ideally with a first experience in startups.
Knowledge in Scala could be a plus.
Crafty, handy and pragmatic, you code on Linux / Mac and are both comfortable with CLI and graphical interfaces.
You commit on Open source projects and you are present on GitHub
There is 9 different nationalities at Kpler, you must be able to interact with all team members in a functional English
Other
End of studies internship - Minimum 6 months (could be a junior full-time position according to profile)
Paris, 4ème arrondissement - Beaubourg
Stipend : 1200 € brut/month
Contact : jobs@kpler.com
