Data Engineer applicants have rated the interview process at Accenture with 3.3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 33% positive. To compare, the company-average is 64.6% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Engineer roles take an average of 30 days to get hired, when considering 3 user submitted interviews for this role. To compare, the hiring process at Accenture overall takes an average of 24 days.
Common stages of the interview process at Accenture as a Data Engineer according to 3 Glassdoor interviews include:
Skills test: 50%
Phone interview: 50%
Here are the most commonly searched roles for interview reports -
Phone - 15 min phone screening interview 1st - 1 hr Technical interview with a member of the data team you are interviewing for 2nd - 30 min technical and 30 min behavioral interview with a Manager from the data team 3rd - if needed
Interview questions [1]
Question 1
How would you approach a deadline with multiple data teams delayed in their sprints? Provide 3 different approaches
I applied online. I interviewed at Accenture (Bengaluru) in Aug 2023
Interview
The technical round was very easy and he asked about the basics of Spark, Hive, SQL, and SCALA. And they asked to upload all the documents. On the third day, I received an email saying that the audit failed (the video was not clear), so you have to have an interview again. In that second time, I did well, but she got rejected.
Interview questions [1]
Question 1
spark architecture HDFS formats SQL SCALA, closure function, higher order function how to insert col in the middle in hive Laz evaluation Transformations and Acctions
Good It is easy but only if you understand the core concepts and DSA. The interviewer is more concern about handling the pipeline of data and also about the core data concepts
Interview questions [1]
Question 1
I don't remember but is somewhat based on data core concepts.