
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
Candidate interview experiences
First-hand accounts from people who interviewed at Rakuten.
Data Engineer
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.
- Can you describe the main challenge you faced during the process of fine-tuning a model?
Data Engineer
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.
- Can you describe your previous projects?
- What's your strategy for tackling specific challenges?
- Discuss your understanding of data security.
Data Engineer
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.
- 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.
“What is the maximum size a table can be in Postgres?”
Read reports →“How do you perform a level order traversal on a binary tree?”
Read reports →“How can one retrieve the top 3 counts from a dataset in SQL without using the LIMIT or ORDER BY clauses?”
Read reports →“Can you explain what ipv4 or ipv5 is?”
Read reports →“Can you explain how to deduplicate a table, providing both a basic and an efficient approach?”
Read report →“Given the function Deduplicate(id, name, trx_time), what would you do?”
Read report →“What kind of error exceptions have you encountered in Spark?”
Read report →“How do you make sure your data is accurate and has integrity?”
Read report →“Describe your solution for a production pipeline feeding analysts that occasionally produces duplicate records.”
Read report →Formats, difficulty and experience
Across all 29 Rakuten interview reports.