Google

A multi-stage and thorough process, with an emphasis on technology and the ever-evolving world of data engineering. I did not pass through many of the required elements, but it was a good experience to go through either way.

Get ready to solve problems in Python, SQL, or similar, often involving data manipulation or algorithms. Be prepared to answer questions on data modeling, ETL pipelines, distributed systems (e.g., MapReduce), and other cloud tools you have experienc

The technical interview was positive; I felt comfortable throughout the entire session. The interviewer showed kindness, listened attentively, and always offered constructive suggestions to my answers and reasoning. With that, the stress was gone f