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Neudesic Data Engineer Interview Questions
& Process

Real candidates share what happened, how many rounds they had,
and how the experience turned out.

Based on 6 interview experiences · FREE TO READ

2 Rounds average
Average Typical difficulty
33.3% Positive experience

Candidate interview experiences

First-hand accounts from people who interviewed at Neudesic.

Showing 3 of 6
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Azure Data Engineer

Engineering · nearly a year ago

Mid Average Negative experience No offer 3 rounds
Interview process
Recruiter call Technical screen Technical screen Technical screen
Interview formats
Coding Technical

I applied on the website and a recruiter contacted me. Then there were 3 interview rounds: the first was coding, the second technical, and the third technical. I passed all of them, but the recruiter stopped responding. Later I found out it was due to salary expectations not being met.

Confirmed questions3 questions
  • Pure coding questions focusing on SQL and Spark, with Spark questions on their platform and SQL on notepad.
  • Technical questions of easy to medium difficulty, covering both theory and coding.
  • Technical questions of easy to medium difficulty but with more depth.
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Neudesic

Azure Data Engineer

Engineering · more than a year ago

Mid Average Positive experience No offer 2 rounds
Interview process
Technical screen Technical screen
Interview formats
Coding Technical

The interview process included 1 hands-on round where I had to build an ADF pipeline, and 2 technical rounds. The first technical round covered basic questions about ADF concepts like linked service, function vs SP, dataset, and activities. The second round was based on my self-introduction.

Confirmed questions4 questions
  • Azure Data Factory basics
  • basics on Azure ETL
  • SQL basics
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Neudesic

Data Engineer

Engineering · more than a year ago

Entry Average Negative experience No offer 2 rounds
Interview process
Technical screen Technical screen
Interview formats
Technical Coding

I went through 2 rounds of interviews. The first was a technical round where I had to solve some SQL problems, which I think went okay. The second technical round felt off, with questions that didn't seem relevant to the Data Engineer role. The interviewer was quite negative, acting like they knew everything and constantly trying to prove me wrong. It was discouraging, and despite answering some scenario questions on ADF well, the interviewer's attitude made my efforts feel pointless.

Confirmed questions3 questions
  • Solve this SQL question and provide the output.
  • Can you answer some questions about PySpark?
  • What are your thoughts on scenario-based questions regarding ADF?

Neudesic Data Engineer Interview Questions

Quoted word for word from Neudesic interview reports.

Create a SQL query to identify and return the top 5 customers based on their total order amounts.

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Write a PySpark job to eliminate duplicate events. A duplicate is defined as having the same user_id, event_type, and event_timestamp. For each user, ensure you retain only the most recent event.

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Given a customer dataset with missing age and city information, write code to substitute NULLs. Use the average age for missing ages and 'Unknown' for missing cities.

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What are your thoughts on scenario-based questions regarding ADF?

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Formats, difficulty and experience

Across all 6 Neudesic interview reports.

Interview formats

Technical 53.8%
Coding 46.2%

Interview difficulty

Easy 0%
Average 83.3%
Difficult 16.7%

Candidate experience

Negative 50%
Neutral 16.7%
Positive 33.3%