The phone screen round was a smooth process. It included SQL and Python sections. You could choose which one you wanted to tackle first.
Python:
For the SQL questions, the schema had four tables: author, transaction, customer, and payment.
Q1. What was the total value of sales and the number of unique paying customers, grouped and sorted in descending order by payment type?
Q2. Find the IDs of the top 5 customers, ordered by average payment per book made by the people they invited.
Q3. Find the total number of authors registered with the bookstore. What percentage of them have a website URL that contains ".com", and what percentage never made a sale?
The following metrics were computed from 347 interview experiences for the Meta Data Engineer role in United States.
Meta's interview process for their Data Engineer roles in the United States is extremely selective, failing the vast majority of engineers.
Candidates reported having very good feelings for Meta's Data Engineer interview process in United States.