Many rounds very The interview process included an initial screening, technical assessment, and behavioral interview focused on communication, problem-solving, teamwork, and adaptability. Final candidates met with leadership to discuss role expectations and organizational fit.
Positive experience
Average interview
Application
I interviewed at Google (Lincoln, NE)
Interview
Simple and non technical. No technical questions at all in the initial screening. 3 more interviews after that. Not terrible. All stuff you’ve probably seen before. Some experience and personal questions
recruiter > tech screen on coderpad with advanced sql and some python data manipulation. the onsite was a 5 round loop: data modeling, pipeline design, python coding, advanced sql, and a googleyness/behavioral chat. the pipeline design round is the absolute filter imo - they throw a massive ques at you, like designing a real-time analytics pipeline for ad-click tracking system, and you have to map out the batch vs streaming architecture, idempotency, and how to handle late-arriving data from scratch. the modeling round was all about star schemas, handling slowly changing dimensions (SCDs), and optimizing tables. it felt very practical; it’s more about how you structure data at a massive scale and handle edge cases. for prep, i focused on kimball methodology and practicing streaming architectures. i did a few mocks on Prepfully with google DEs specifically for the pipeline design round and that helped me lot. Skimmed through DataLemur for ques and practice and yeah ofcourse blind/reddit for recent experiences
Interview questions [1]
Question 1
design a data pipeline to process clickstream events from millions of users in real time
