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At its essence, data engineering involves constructing and maintaining the infrastructure that allows organizations to collect, process, and utilize data efficiently. The traditional ETL process—extracting data from various sources, transforming it into meaningful formats, and loading it into data warehouses—is a critical component but only scratches the surface. Data engineering is fundamentally a piece of a larger puzzle, integrating multiple roles that work together to create a robust data ecosystem.
The Three Primary Roles in Data Engineering
Within the domain, there are three key roles that significantly shape the landscape of data engineering: