Part 5/11:
Samit emphasizes that much of the repetitive coding and pipeline construction can now be automated, freeing engineers to concentrate on architecture, optimization, and designing robust, scalable systems. Moreover, the skills required are shifting toward strategic planning, tooling choices, and maintaining integrity amid a growing tool complexity landscape.
Human Judgment and Governance in an Automated World
Despite advancements, panelists agree that certain aspects of data engineering—especially those involving policy, ethical considerations, and complex governance—are unlikely to be fully automated soon. Anerban stresses that policy frameworks tied to political, social, or cultural contexts require human judgment; AI cannot yet interpret these nuances.