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Data Engineer vs Data Scientist: Roles and Responsibilities
This guide compares Data Engineers and Data Scientists, highlighting their distinct roles. Data Engineers focus on building and maintaining data pipelines and infrastructure, using tools like SQL, Hadoop, and cloud platforms. Their work ensures reliable data flow for analysis. On the other hand, Data Scientists specialize in analyzing data, building predictive models, and generating insights using Python, R, and machine learning tools. Both roles are critical in data-driven decision-making, with Data Engineers creating the foundation and Data Scientists extracting valuable insights for strategic use.
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