Open codebase, you can work on anything you want if you see value in it. Bottom-up culture.
Lots of internal tools to learn.
For a temporary role at Meta as a Data Engineer, I completed three SQL and two Python assessments. Although I successfully tackled all SQL challenges and one Python task, unfortunately, I was not selected.
The first round includes three Python questions and three SQL (PostgreSQL) questions, which are very tough, I think. The recruiter is very responsible and fast to reply. You can always see the interviewer via their website in advance.
Recruiter round followed by a 1-hour tech round of Python & SQL. Followed by an onsite with 4 rounds covering data modeling, product sense, and ownership. I thought it went well, but did not receive an offer.
For a temporary role at Meta as a Data Engineer, I completed three SQL and two Python assessments. Although I successfully tackled all SQL challenges and one Python task, unfortunately, I was not selected.
The first round includes three Python questions and three SQL (PostgreSQL) questions, which are very tough, I think. The recruiter is very responsible and fast to reply. You can always see the interviewer via their website in advance.
Recruiter round followed by a 1-hour tech round of Python & SQL. Followed by an onsite with 4 rounds covering data modeling, product sense, and ownership. I thought it went well, but did not receive an offer.