Excellent benefits, the best ones.
You are at the cutting edge of the field and can work with very smart people.
Absolutely easy to burn out; one must be careful. Since 2022, every year there has been a round of layoffs that, combined with a heavy performance review process and high expectations, puts immense pressure on everyone and creates a very stressful environment. 100% of my teammates have worked on the weekends at least once per quarter.
HR contacted me after four months of submitting the application. The interview process consisted of three rounds of technical interviews (two SQL and one Python) and two rounds of behavioral questions, including one M2-level interview.
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
A round was given with 5 SQL and 5 Python questions, which had to be answered within an hour. You received 30 minutes for each section. The questions majorly focused on dictionaries and window functions.
HR contacted me after four months of submitting the application. The interview process consisted of three rounds of technical interviews (two SQL and one Python) and two rounds of behavioral questions, including one M2-level interview.
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
A round was given with 5 SQL and 5 Python questions, which had to be answered within an hour. You received 30 minutes for each section. The questions majorly focused on dictionaries and window functions.