Data Engineer
Job Summary
Job Description
- Top-notch programming skills in any language (Python preferred).
- Experience with SQL and relational databases.
- Experience generating data visualizations.
- Meticulous approach to data quality and validation.
- Clear and concise communication skills.
3 skills required
Job Details
About the Position
We are looking for a Data Engineer who can help us understand, clean, manage, and share the data that guides our trading. At Jane Street, having a thorough and accurate understanding of data is at the core of the work we do.
Using our mix of in-house and open-source software, you will analyse datasets gathered from a variety of sources, checking for anomalies, matching formats and symbologies, automating ETL processes, and generally making it easier for our traders to generate valuable insights.
You should be excited about digging deep into datasets and explaining your findings to different types of colleagues, working collaboratively with traders and software engineers.
While prior experience with financial data would be nice, we don’t expect you to have a finance background. We’re happy to hire talented engineers and teach them what they need to know.
About You
- Top-notch programming skills in any language (Python a plus)
- Experience with using SQL and relational databases
- Experience with generating data visualizations
- Meticulous approach to data quality and validation
- Clear and concise communication skills; able to efficiently analyse and deconstruct technical problems
- Fluency in English required
If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com.
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About The Company
Jane Street is a quantitative trading firm with offices in New York, London, Hong Kong, Singapore, and Amsterdam. We are always recruiting top candidates and we invest heavily in teaching and training. The environment at Jane Street is open, informal, intellectual, and fun. People grow into long careers here because there are always new and interesting problems to solve, systems to build, and theories to test.
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