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

Are Data Engineers Doomed? What AI Means for Their Future

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