Data Engineer applicants have rated the interview process at Virtusa with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 60% positive. This is according to Glassdoor user ratings.
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I applied through a recruiter. I interviewed at Virtusa (Hyderābād) in Jun 2022
Interview
Very bad experience with HR team
Had 2 technical and 1 managerial round. Was told I was selected for the position after the 2 technical rounds, was given the details about project, work timings, discussed salary. But after a week was informed there will be additional interview with manager while I was waiting for offer. Managerial interview was postponed multiple times over a week. When finally managerial round went fine and was informed the next day I was "selected" for the position, but no offer letter was provided, tried to contact with HR multiple times over the next few weeks, finally got a reply to try elsewhere and that my application was indefinitely in a pending state but not rejected.
So they won't reject you but will also not give you a reason why they are not selecting you
I applied online. I interviewed at Virtusa (Pune) in May 2026
Interview
I interviewed at virtusa, first round was AI round, then L1 interview they scheduled , asked some scenarios based questions. but they havent reached at me for next level. Interviewer asked me about the SQL and Pyspark
I applied through a recruiter. I interviewed at Virtusa (Málaga) in Nov 2025
Interview
Me preguntaron cosas muy concretas de PowerBi que no me acordaba. No entiendo la importancia que le dieron a las preguntas cuando había cosas más importantes y que le podría dar mejores resultados con otros visualizadores.
Interview questions [1]
Question 1
Me preguntaron sobre PowerBI principalmente, pero en la oferta no parecía relevante.
I applied through a recruiter. I interviewed at Virtusa (Bengaluru)
Interview
it was virtual intervirew 3 rounds, asked on spark architecture , pyspark , sql
prep well on project you did.sql on window functions .
data modelling questions , pyspark optimizaions.