Data Engineering
Data engineering refers to the process of designing, building, maintaining, and testing data pipelines and systems that allow organizations to store, process, and analyze large amounts of data. It involves a combination of software development and data management skills that is highly needed in data-driven businesses.

It includes activities such as:

  • Identifying data sources and determining how to extract structured data from them
  • Creating data pipelines and systems to load, transform, and store data efficiently.
  • Implementing security and quality measures to assure the data's integrity and reliability
  • Working with data analysts and data scientists to understand their information requirements and help design data-driven solutions.
  • Testing and debugging data pipelines and systems to ensure proper operation.
  • Ongoing maintenance and updating of data pipelines and systems
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