The interview process for a data engineering position at Meta typically includes:

• An initial recruiter screen.
• A technical phone screen focusing on SQL, Python, and ETL concepts.
• Several onsite or virtual interviews covering coding, data engineering specifics, system design, and behavioral questions to assess cultural fit.

Candidates should prepare by practicing coding problems, reviewing data engineering principles, and understanding system design.

Successful candidates undergo a hiring committee review before receiving an offer. Familiarity with Meta's mission and values is also important for demonstrating cultural alignment.

How would you design an ETL pipeline to handle real-time data ingestion from multiple sources (e.g., web servers, mobile apps)?

Ensure data quality and consistency before loading it into a data warehouse.