Data Engineer
S&P Global(2 months ago)
About this role
A Data Engineer at S&P Global Commodity Insights works within the Data Science and Modelling group to design and implement data solutions that support commodity analytics. The role focuses on enriching datasets, migrating legacy processes to modern technologies, and enabling data governance, automation, and quality monitoring. The position involves close collaboration with onsite and offshore teams to deliver analytics data and modelling objectives.
Required Skills
- Predictive Modelling
- Statistical Analysis
- Econometrics
- Data Automation
- Machine Learning
- SQL
- Python
- Excel
- Data Visualization
- Big Data
+2 more
Qualifications
- Bachelor’s Degree in Engineering, Mathematics, Economics, Computer Science or related discipline
- Master’s Degree (preferred)
About S&P Global
spglobal.comWe provide Essential Intelligence: a combination of the right data, connected technologies and experts to enable our customers to make decisions with conviction.
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