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Real Interview Experiences

Learn what to expect directly from candidates and interviewers who've been through it.

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Meta
Data Engineer
Meta·Posted 5 months ago · Nov 2025

What stood out to me is that every loop round started with product sense, then I had to turn that answer into a data model, and from that they jumped straight into SQL and Python. One case was even an Instagram metric drop where I had to do root cause analysis live.

Verified4 rounds11 questions
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H
Data Engineer
HackerRank·Posted 1 week ago · Sep 2026

IT was a AI based interview, where the interviewrs asked me some technical question related to spark, partitons, How did i managed a end to end data pipeline, how did si deploy data infrastructure

1 round1 question
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Infosys
Data Engineer
Infosys·Posted 1 week ago · Aug 2026

all went well, no problem at all, everything was smooth. interviewr was nice & soft spoken. Team was nice

2 rounds1 question
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F
Data Engineer
Fractal Analytics·Posted 1 month ago · Jul 2026

Interviews are aligned with what mentioned in the Job description. Expect some system design questions as well.

4 rounds1 question
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Amazon
Data Engineer
Amazon·Posted 3 months ago · Jun 2026

The overall interview process was incredibly smooth, straightforward, and well-organized from start to finish. The recruiter was exceptionally friendly, responsive, and did a fantastic job of setting clear expectations for each stage. There weren't any significant downsides, as the scheduling was efficient and the communication remained consistent throughout.

1 round2 questions
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Amazon
Senior Data Engineer
Amazon·Posted 1 month ago · May 2026

I definitely had good preparation on LP question which is one of the most important area because company focuses on this a lot

3 rounds1 question
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Amazon
Data Engineer
Amazon·Posted 3 months ago · May 2026

Overall, I’d rate the process as smooth and structured, with four rounds in total: two technical rounds focused on SQL and DSA, one system/design round, and one hiring manager discussion. The expectations were clear in advance, interviewers were punctual, and the questions were well aligned with the role. What went well was the depth and relevance of the SQL and design problems, which gave me a fair chance to showcase my experience with data pipelines and large-scale systems. What could have been better was more clarity on the evaluation criteria and faster post-interview communication, as the waiting period between rounds felt a bit long

2 rounds2 questions
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DoorDash
Data Engineer
DoorDash·Posted 4 months ago · Apr 2026

The recruiter mentioned that I will be heavily judged on my Communication as well as problem-solving. What went well: 1. I solved all the questions. 2. I was communicating very well. I wasn't able to pass the round because the interviewer wasn't helpful at all. I asked a question regarding an assumption to the third SQL question, and she said no. When I coded it and received the wrong answer, she said your assumption was wrong. Also, she said, "Don't tell me, you can solve it any way you want to solve." Her phone rang twice (I could sense she was using it, looking down). She was kind of rude, she ran my code while I was coding, causing confusion at my end. Yes, an interview is a collaborative exercise in DoorDash. She added something to my code even without telling me, leading it to fail, and consuming my time to debug.

2 rounds
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Accenture
Data Engineer
Accenture·Posted 4 months ago · Mar 2026

The interview went well as I expected the questions where L2. They asked about project and challenges during the project and how i overcame those challenges while collaborating with teammates

2 rounds
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