ByteDance data engineering interview questions (often discussed alongside TikTok -aligned or group-wide data roles) usually combine SQL and Python in the same loop: you need to get the grain right (joins, aggregation, subqueries, window functions and ranking), then show fast, clear code on arrays , sets , strings , and common two-pointer / search / simulation styles on harder items. This guide is structured as a ByteDance data engineering interview prep map: a topic table first, then numbered sections in that order. Within each main topic , every sub-topic has a short explanation , then—where it helps— a worked example with solution , a note on a typical gotcha (problem) , and finally a separate interview problem and full solution at the end of the section. All of that is original teaching copy. Top ByteDance data engineering interview topics # Topic Why it shows up (hub tag) 1 SQL: joins and aggregation Joins & Aggregation on company practice , plus fan-out and grain.…