Meta Data Engineer interview experience

Then I jumped into a technical screen with a set of SQL and Python tasks that were very data-oriented, the kind of questions that require thinking through joins, fact tables, dimensions, and what the output should represent.

On the SQL side, I had to reason about star schema style data, interpret transaction and registration timing, and compute metrics like percentages and grouped totals sorted by the right fields. There were also questions that made me trace relationships across entities—things like identifying authors tied to sales behavior and calculating summary values grouped by payment