Quantitative Data Engineer: ETL Pipelines & Analytics

A quantitative investment management firm in Hong Kong seeks a skilled Data Engineer to design and maintain scalable ETL/ELT pipelines, utilizing Python and cloud technologies. The ideal candidate will have a Bachelor's degree in a STEM field and advanced skills in SQL, NoSQL, and AWS services. Successful performance hinges on collaboration with research teams and optimizing data delivery. This role supports innovation in data accuracy and risk analysis within financial markets.