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Senior Quant Data Engineering
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Full-time
- Demonstrated data engineering experience, utilizing agile methods and modern SDLC processes to deliver quality technological solutions in a transparent, reliable way.
- Experience in building and designing solutions for data warehouse and experience in working with large data sets in Oracle and Snowflake
- Demonstrable mastery of industry best practices in the data lifecycle, including data quality automation and tooling.
- Domain experience with financial datasets like FactSet, Bloomberg, IBES, CompStat, S&P Global, Worldscope, Morningstar, MSCI, Reuters, IDC, Markit, BARRA, Axioma, Northfield, and PORT is a plus
- Demonstrated Experience in Python programming and familiarity with core data science libraries.
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