Python Engineer
vor 2 Wochen
Your future role within the firm
- Develop ETL pipelines to integrate and test extensive alternative datasets for the Commodities desk, collaborating with quantitative researchers and data engineering teams.
- Architect, deploy, and manage cloud-based systems for storing and exploring extensive alternative datasets, collaborating with the cloud infrastructure team.
- Monitor, support, debug, and extend existing Commodities trading and research infrastructure in collaboration with Researchers and Support Engineers.
Your current skillset
- Proficiency in Python, particularly numerical libraries such as numpy, pandas, matplotlib, etc.
- Basic understanding of cloud services.
- Basic knowledge of databases (e.g., SQL).
- Familiarity with development practices - version control with Git, unit testing, etc.
- A quantitative mindset.
- Team player with a collaborative attitude.
Nice to have
- Experience in creating dashboards or using data visualisation software (e.g., Tableau, Dash).
- In-depth experience with cloud services (e.g., DynamoDB, RDS, S3, Lambda, AWS CDK).
- Advanced database knowledge (query optimisation, relational vs non-relational databases, etc.).
- Experience with parallel computation.
- Experience with geographic data using geopandas, xarray.
- Financial knowledge is a plus but not required.
This role can be based in either Zürich or Geneva
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