Data Engineer
3 ratings and 3 bookings across all services

A full mock of a data engineering interview, run the way real panels run it.
We'll cover the rounds that decide DE offers: SQL (window functions, joins, query optimisation), Python and Spark (transformations, partitioning, performance), and pipeline or system design (batch vs streaming, Airflow orchestration, data modelling, cloud storage choices).
You'll get honest written feedback afterwards: what went well, where you lost marks, and what to fix before the real interview.