First Round was in-depth on Spark. Advanced Spark Internals, Driver-executor Memory Management in Spark Task Scheduling and Execution, and review DAG in depth Execution plans, physical and logical plan, Catalyst Optimizer, AQE in depth with example Structured Streaming Dynamic Resource Allocation in Spark Handling Skewed Data Job Failures and Retry Mechanisms Types of schedulers Default join types and differences Change Broad cast join defaults

It was smooth, Got a call for first round, started with intro and project I've worked on, as it was technical focused more on pyspark and sql. Data Engineering principles and processes.