Part 2/11:
Data engineers traditionally functioned as the builders and orchestrators of data pipelines. Their responsibilities include discovering data sources, extracting raw data, cleansing, enriching, transforming, and preparing datasets for consumption—be it for reporting, analytics, machine learning, or applications.
Today, despite the proliferation of new tools and frameworks, the core activities of data engineers remain consistent. They are still responsible for tasks such as identifying sources, integrating data from disparate systems, validating and standardizing data, and deploying pipelines using modern DevOps practices.