Got to work on large-scale data pipelines used by real products. Amazing engineering culture and great exposure to internal tools like DataSwarm and Unidash. I learned a lot about data reliability, monitoring, and handling critical production systems. Team collaboration was strong, and documentation was surprisingly solid for a big tech company.
Some decisions take time due to process and review loops. Limited visibility into long-term projects as a contractor.
I applied online. The process took 4 weeks. The first round is a technical screen with a 5-minute introduction, 30 minutes of SQL, 30 minutes of Python, and a 5-minute Q&A. You can decide if you want to start with SQL or Python. In each session, you
Phone screen - 1 hour. Final loop - 3 tech, 1 behavioral. Meta is all about coding and tech; no LP. Phone screen: Do a minimum of 6 questions (3 SQL and 3 Python) out of 10 questions. You will pass if you get 5 right, or else you will be rejected
One phone tech screen covered both SQL and Python questions. They do the best job I've seen of hosting this tech screen/interview. They use CoderPad and actually let you run the queries/functions. For SQL, they provide a nice schema for you to refere
I applied online. The process took 4 weeks. The first round is a technical screen with a 5-minute introduction, 30 minutes of SQL, 30 minutes of Python, and a 5-minute Q&A. You can decide if you want to start with SQL or Python. In each session, you
Phone screen - 1 hour. Final loop - 3 tech, 1 behavioral. Meta is all about coding and tech; no LP. Phone screen: Do a minimum of 6 questions (3 SQL and 3 Python) out of 10 questions. You will pass if you get 5 right, or else you will be rejected
One phone tech screen covered both SQL and Python questions. They do the best job I've seen of hosting this tech screen/interview. They use CoderPad and actually let you run the queries/functions. For SQL, they provide a nice schema for you to refere