Snowflake is the cloud-native data warehouse most modern data teams stand on — it stores petabytes, runs analytics in seconds, scales compute and storage independently, and ships features (Time Travel, zero-copy cloning, secure data sharing) that legacy MPP warehouses cannot match. For freshers preparing for data-engineering interviews, Snowflake is a high-leverage skill: the architecture is fundamentally different from Postgres or MySQL, and the same two or three concepts show up in every interview loop.

Think of this as a beginner-friendly Snowflake tutorial for data engineers — a first-principles walk through the Snowflake data warehouse from three-layer architecture to performance tuning.…