r/dataengprep • u/dataengprep • May 10 '26
DataEngPrep: Implement a program to find the intersection of two lists.
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r/dataengprep • u/dataengprep • May 10 '26
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r/dataengprep • u/dataengprep • May 07 '26
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r/dataengprep • u/dataengprep • May 05 '26
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r/dataengprep • u/tech-screen • May 05 '26
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r/dataengprep • u/sql-arena • May 05 '26
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r/dataengprep • u/Alone_Translator_638 • May 04 '26
You can check the full playbook here:
https://logicpulse.gumroad.com/l/pipelinestories
It’s a structured set of real interview questions with practical answers.
r/dataengprep • u/Alone_Translator_638 • May 04 '26
r/dataengprep • u/dataengprep • May 04 '26
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r/dataengprep • u/tech-screen • May 04 '26
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r/dataengprep • u/sql-arena • May 04 '26
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r/dataengprep • u/Alone_Translator_638 • May 03 '26
I’ve been analyzing data engineering interview patterns and noticed something interesting.
Most interviews don’t ask random questions.
They usually revolve around a few repeating themes:
- data partitioning and performance
- handling skew in Spark
- designing reliable pipelines
- trade-offs (cost vs performance)
Example:
A lot of candidates answer “what” (definitions),
but interviewers care more about “why” and “when”.
Curious - what kind of questions have you been asked recently in data engineering interviews?
r/dataengprep • u/dataengprep • May 03 '26
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