Got a message from an Apple recruiter on LinkedIn and things moved quickly. First was the usual HR screen - basic intro, project highlights, etc. Then a manager round focused mostly on past work and a few behavioral questions around missed deadlines and long-term projects. Next was a technical phone round - 1 hour, covered Python basics, ETL, and a solid chunk of SQL (joins, window functions, pivots). Some quick-fire questions on Redshift vs Postgres, Parquet vs CSV, and Spark vs MapReduce. Had to write a function for binary tree traversal and optimize median-finding for large lists. Final was a full-day virtual onsite - 4 rounds: coding, DB design, data modeling, and a round with a senior team member. SQL-heavy again, with tasks like schema design, complex queries, and even a mock market basket analysis. Also dove into how I’d structure end-to-end data pipelines. I leaned on LC, Grokking, and did a couple of mocks on Prepfully - super useful, especially for the SQL and design bits. Got the offer!
Explain the concept of monkey patching with the help of an example.
The following metrics were computed from 8 interview experiences for the Apple Data Engineer role in Cupertino, California.
Apple's interview process for their Data Engineer roles in Cupertino, California is extremely selective, failing the vast majority of engineers.
Candidates reported having negative feelings for Apple's Data Engineer interview process in Cupertino, California.