Full-time
Hybrid Data Engineer - Commodity Analytics
Posted by S&P Global, Inc. • WorkFromHome, Ciudad de México, Mexico
About the Role
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.
#J-18808-Ljbffr
#J-18808-Ljbffr
Ready to Apply?
Submit your application today and take the next step in your career journey with S&P Global, Inc..
Apply Now