Google Data Engineer (Entry Level) Interview Preparation Guide

Google's Data Engineer interview process consists of multiple rounds designed to assess your technical proficiency in data architecture, SQL, ETL processes, and your ability to solve real-world data problems on Google Cloud Platform (GCP). For entry-level candidates, the process typically includes an initial recruiter screening, a technical phone screen focusing on SQL and coding fundamentals, and five onsite interview rounds covering data modeling, pipeline design, query optimization, distributed systems concepts, and cultural fit. The entire process evaluates both technical skills and your problem-solving approach, communication clarity, collaboration abilities, and cultural alignment with Google's values.