Loved Company, Long Hours
Loved Company, Long Hours
I love this company a lot.
It's tough to work this many hours.
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Meta Interview Questions
Meta Interview Experiences
Data Engineer
To master advanced SQL and Python for technical interviews beyond the standard Glassdoor level, focus on high-complexity problems that require multi-step logic, data cleaning, and algorithmic efficiency. Focus on logic building rather than the number
Data Engineer
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.
Data Engineer
Phone screen followed by onsite: * Database and SQL data modeling * Product sense * Python coding (dictionaries, lists) * Product sense analytics * Various kinds of graphs * SQL joins and aggregations * Medium to complex questions on P
Data Engineer
March 21, 2026To master advanced SQL and Python for technical interviews beyond the standard Glassdoor level, focus on high-complexity problems that require multi-step logic, data cleaning, and algorithmic efficiency. Focus on logic building rather than the number
Data Engineer
IndiaJuly 24, 2025A 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.
Data Engineer
Menlo Park, California, United StatesJune 1, 2020Phone screen followed by onsite: * Database and SQL data modeling * Product sense * Python coding (dictionaries, lists) * Product sense analytics * Various kinds of graphs * SQL joins and aggregations * Medium to complex questions on P
