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Rakuten Data Engineer Interview Questions
& Process

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

Based on 29 interview experiences · FREE TO READ

2.9 Rounds average
Average Typical difficulty
51.7% Positive experience

Candidate interview experiences

First-hand accounts from people who interviewed at Rakuten.

Showing 3 of 29
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Rakuten

Data Engineer

Engineering · nearly a year ago

Entry Average Positive experience No offer 3 rounds
Interview process
Recruiter call Technical screen
Interview formats
Technical Coding

I am currently studying at IIT Hyderabad. Rakuten came to my college for campus placements. The first round was a resume shortlist. The second round was a DSA round. The third round was a tech interview. I made it to the third round. Out of 220 applicants, there were only 2 vacancies. They only selected 8 people for the third round, and luckily I was one of them, but I didn't get selected.

Confirmed questions1 question
  • Can you describe the main challenge you faced during the process of fine-tuning a model?
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Rakuten

Data Engineer

Engineering · a year ago

Entry Easy Neutral experience Decline offer 3 rounds
Interview process
Technical screen Technical screen Offer
Interview formats
Technical Behavioral

The interview process was pretty fast, with 3 rounds in total. Two of these were quite technical. It was kind of a red flag that none of the interviewers talked about benefits, work culture, or other perks. When I got the offer, it was really lowballed, and it seemed like they were targeting desperate people who wanted to move to Japan with minimal pay. They were not willing to negotiate the offer.

Confirmed questions4 questions
  • Can you describe your previous projects?
  • What's your strategy for tackling specific challenges?
  • Discuss your understanding of data security.
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Rakuten

Data Engineer

Engineering · a year ago

Mid Difficult Neutral experience No offer 2 rounds
Interview process
Recruiter call Technical screen Technical screen Technical screen Technical screen Technical screen Technical screen Technical screen Technical screen Technical screen
Interview formats
Coding Technical Behavioral

The whole interview was tough. I applied on the rakuten website, but nothing happened for a while. I had to email someone from rakuten using an email I found on their internal candidate page for anything to happen. Then I got invited to do a codility test. My advice is to email them if you don't hear back after a week! I studied hard for the codility test, focusing on algorithmic counting and array/string manipulation, which turned out to be enough. I passed. Next was the first interview, which had a lot of basic SQL questions, as others have said, plus a live coding session and some behavioral questions. I passed that too. Then I had to take an English TOEIC test. I ended up failing the second interview, which was with a data team lead. He asked a lot about my work experience. He seemed positive about me afterwards, but I got rejected a couple of days later. I think it was because of my inexperienced answer about handling duplicate rows in a data pipeline. I'm sharing this so the next person can get the job. Glassdoor helped me prepare, but I still missed out, even though I was ready for some hard questions. I realized I wasn't ready for system design questions and that the interviewer thought I lacked experience in pipeline performance tuning and data operations. These are areas I need to work on. Keep interviewing; you'll find the right fit. I'll be looking elsewhere for now.

Confirmed questions8 questions
  • Could you describe how you handle data skew?
  • On a scale of 1 to 10, how would you rate your proficiency in PySpark?
  • What strategies do you use to persuade colleagues or business stakeholders to adopt new technologies?

Rakuten Data Engineer Interview Questions

Quoted word for word from Rakuten interview reports.

How do you perform a level order traversal on a binary tree?

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How can one retrieve the top 3 counts from a dataset in SQL without using the LIMIT or ORDER BY clauses?

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Can you explain how to deduplicate a table, providing both a basic and an efficient approach?

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Given the function Deduplicate(id, name, trx_time), what would you do?

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What kind of error exceptions have you encountered in Spark?

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How do you make sure your data is accurate and has integrity?

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Describe your solution for a production pipeline feeding analysts that occasionally produces duplicate records.

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Formats, difficulty and experience

Across all 29 Rakuten interview reports.

Interview formats

Technical 36.2%
Coding 29%
Behavioral 29%
Presentation 2.9%
Case 1.4%

Interview difficulty

Easy 17.2%
Average 69%
Difficult 13.8%

Candidate experience

Neutral 31%
Negative 17.2%
Positive 51.7%