Hybrid Data Engineer - Commodity Analytics

A leading global information provider is seeking a Data Engineer to work collaboratively within the Data Science and Modelling group. This role emphasizes creating innovative analytical solutions and commodity models. The ideal candidate has a Bachelor's degree in a relevant field, at least three years of experience in similar roles, and proficiency in SQL, Excel, and Python. This position is based in Mexico City with a hybrid work model. Competitive benefits offered.
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