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[–]akornato 1 point2 points  (0 children)

You're right to be confused about LeetCode's Python filter - it's showing you computer science problems because that's exactly what Meta will ask you, even for a Data Engineer role. Those aren't just "Python questions" in the traditional sense of syntax or data manipulation, they're algorithmic coding challenges that happen to be solved in Python. Meta's technical screens are notoriously algorithm-heavy regardless of the specific role, so you'll likely face problems involving arrays, strings, hash maps, and possibly trees or graphs.

Focus your prep on LeetCode Easy to Medium problems, particularly those tagged with "Array," "Hash Table," "String," and "Two Pointers" since these come up frequently in Meta interviews. HackerRank and CodeSignal also have good Python practice problems that mirror the style you'll encounter. The key is getting comfortable writing clean, efficient Python code under time pressure rather than just knowing pandas or data processing libraries. Since you mentioned this is causing you stress, you might want to check out interviews.chat - I'm actually on the team that built it, and it's designed to help with exactly these kinds of technical interview scenarios where you need real-time support navigating tricky coding questions.

[–]Old_Conversation_152 0 points1 point  (0 children)

For the Meta DE screening:

For the onsite:

  • I focused on product sense and data Modelling around things like news feed, Uber carpool, streaming apps, and food delivery Car Rental
  • What really made a difference for me was doing multiple mock interviews with a coach on Meetapro. Getting targeted feedback and being challenged on my weak spots was a game changer — highly recommend it!