Really, it's tough managing such a place, a large company, and addressing all the potential issues.
Specifically for data engineering, though, I would hire people to service the internal tooling that actually require using said software in their day-to-day to achieve their role.
Also, more headcount per stakeholder -- although, I know that's an issue they've been dealing with for years.
There are two rounds of phone interviews. First is a coding interview. I used Java, but you can use any language you want. Second is about SQL problems. I completed five of them.
I was contacted by a recruiter, who scheduled a 30-minute phone discussion. This call explained the interview process, and towards the end, the recruiter asked four questions from SQL and four from Python. After the call, I was sent study materials
Meta’s interview process is well-structured and multi-staged. It begins with recruiter screening, followed by: * Technical rounds in SQL and Python * Product sense interviews * Behavioral interviews that assess collaboration, problem-solving,
There are two rounds of phone interviews. First is a coding interview. I used Java, but you can use any language you want. Second is about SQL problems. I completed five of them.
I was contacted by a recruiter, who scheduled a 30-minute phone discussion. This call explained the interview process, and towards the end, the recruiter asked four questions from SQL and four from Python. After the call, I was sent study materials
Meta’s interview process is well-structured and multi-staged. It begins with recruiter screening, followed by: * Technical rounds in SQL and Python * Product sense interviews * Behavioral interviews that assess collaboration, problem-solving,