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.

It was a long process, and it took a long time to have each interview. By the time I got in, it was all worth it. That's it for now.

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