Snowflake data engineering interview questions split into two distinct loops that share a name. The Snowflake-the-company SWE / DE interview is LeetCode-style Python : array iteration with set-based validation logic (the classic SET card-game rule, len(set(values)) in {1, 3} per attribute) and hash-table sliding-window counters over strings ( Counter(substrings) driven by a rolling character-frequency dict). The Snowflake-as-tool data-engineering interview — for any DE role at any company that runs on Snowflake — is product-knowledge plus SQL : three-layer architecture, micro-partitions, clustering keys, Time Travel and Fail-safe, Zero-Copy Cloning, Snowpipe ingestion, and the LAG / LEAD / AVG ... OVER (PARTITION BY ...) window-function primitives that drive consecutive-streak detection, day-over-day deltas, and monthly-aggregate analytics.…