Senior Data Engineer applicants have rated the interview process at Rakuten with 3.3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 75% positive. To compare, the company-average is 44.5% positive. This is according to Glassdoor user ratings.
Candidates applying for Senior Data Engineer roles take an average of 30 days to get hired, when considering 4 user submitted interviews for this role. To compare, the hiring process at Rakuten overall takes an average of 35 days.
Common stages of the interview process at Rakuten as a Senior Data Engineer according to 4 Glassdoor interviews include:
One on one interview: 20%
Skills test: 20%
Background check: 20%
Phone interview: 10%
Group panel interview: 10%
IQ intelligence test: 10%
Presentation: 10%
Here are the most commonly searched roles for interview reports -
I applied online. I interviewed at Rakuten (New York, NY)
Interview
3 rounds f2f and 2 rounds telephonic, questions on SQL joins, spark joins, etc, also spark api questions, various data warehouse concepts, python lib questions, good company to work, why do you want to work for us
I applied online. The process took 4 weeks. I interviewed at Rakuten in Mar 2024
Interview
The interview process is fast 30 - 60 minutes. But, when 10 minutes running if they are not interest with you they will end of the interview.
.
The interview always give you a UNCLEAR questions! You need to ask more clarity with them.
Interview questions [5]
Question 1
Rate yourself using Python, Airflow, Spark, Kafka, etc?
got Multiple round, 6 in total, first tech related, sql, then architecture, then profiling. People were kind, it was more heavy on the architecture design than pure sql or python code
Interview process was smooth and response time was very quick. After 3 rounds of technical interview which was quite a good experience and difficulty level is based on the position.Offer letter was sent within a week.
Interview questions [1]
Question 1
Different types of joins with example, Windows functions and data partition