Inadequate knowledge of AI Code
Modern Large Language Models (LLMs) can auto-generate standard ETL scripts and document schemas nowadays. Generic data engineering courses only deal with the basics, often putting you in trouble while working with automation tools.
· Poor knowledge of Fundamentals
Generic data engineering courses may not cover Apache Spark training, Azure Data Engineer certification, ETL pipeline development courses and other basics of trending tools, rather than teaching core SQL and Python logic. That way, often data engineers with poor fundamental knowledge of core SQL and Python fail to work on an advanced systematic problem-solving landscape.