Google Data Engineer interview questions

The process was structured and professional. It started with a recruiter screening where we discussed my experience, especially around data engineering tools like AWS, Python, and Spark. After that, I had a technical phone interview with real-world coding and SQL problems. They focused a lot on data pipeline design, performance tuning, and system design. Next was the onsite (or virtual onsite) round, which included 4-5 interviews. Each one tested different areas—like cloud data architecture, ETL optimization, and behavioral questions on team leadership and problem-solving. One round was specifically about coding in Python and another was focused on SQL queries and data modeling.