data engineering interview requires more than just memorizing SQL syntax or Spark configurations. It demands a deep understanding of how to build scalable, resilient systems that turn raw data into a strategic asset. As the backbone of the modern AI and analytics stack, data engineers are expected to demonstrate both technical precision and architectural foresight.
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