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Are Data Engineers Doomed? What AI Means for Their Future

  • AI advancements raise concerns about job security for data engineers, but collaboration is key.
  • Data engineering requires human expertise to understand business needs, customize solutions and maintain pipelines.
  • AI optimizes data tasks but falls short in nuanced decision-making; data engineers are essential.
  • Automation in data engineering is improving ETL processes and data cleansing with AI.
  • While AI streamlines tasks, human data engineers' critical thinking remains invaluable.

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