Ho sostenuto un colloquio presso Google (Cupertino, CA)
Colloquio
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.
Altre recensioni di colloqui per Data Engineer presso Google
Ho sostenuto un colloquio presso Google (Lincoln, NE)
Colloquio
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
Ho sostenuto un colloquio presso Google (Mountain View, CA)
Colloquio
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
Domande di colloquio [1]
Domanda 1
design a data pipeline to process clickstream events from millions of users in real time
