Data engineers prepare and transform data using pipelines. This involves extracting data from various data source systems, transforming it into the staging area, and loading it into a data warehouse system. Data engineers employ various tools and techniques to construct frameworks that prepare information for use by data scientists. Python, Java, R, and C++ are among the most common coding languages used by data engineers. The expertise of a data engineer is especially needed to manage large-scale processing systems where performance and scalability issues need continuous maintenance.
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