Data Engineer - Singapore
Technology – Engineering /
Kpler is the leading provider of data intelligence for the commodity markets. Our software aggregates data from hundreds of sources including radar and satellite imagery as well as logistics, governmental and shipping databases. By connecting the dots across fragmented information landscapes, we bring our clients - mostly commodities producers, oil and gas companies, trading houses, public utilities and shipping companies, financial institutions and hedge funds - unique, real-time understanding of supply and demand in the commodity markets.
The company has offices in 6 countries and 7 locations (Paris, London, Brussels, Dubai, Singapore Houston and New York). With individuals of various backgrounds, diverse skills and international experiences, being global & inclusive is in our DNA!
What you’ll do:
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.
You could be a good fit if...
- 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