Data engineers implement methods to improve data reliability and quality. They combine raw information from different sources to create consistent and machine-readable formats. They also develop and test architectures that enable data extraction and transformation for predictive or prescriptive modeling. Data engineers are mainly tasked with transforming data into a format that can be easily analyzed. They do this by developing, maintaining, and testing infrastructures for data generation. Data engineers work closely with data scientists and are largely in charge of architecting solutions for data scientists that enable them to do their jobs.
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