Data Engineer applicants have rated the interview process at Infosys with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 67% positive. To compare, the company-average is 71.5% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Engineer roles take an average of 2 days to get hired, when considering 12 user submitted interviews for this role. To compare, the hiring process at Infosys overall takes an average of 14 days.
Common stages of the interview process at Infosys as a Data Engineer according to 12 Glassdoor interviews include:
Phone interview: 24%
Skills test: 18%
Drug test: 12%
One on one interview: 12%
Group panel interview: 12%
IQ intelligence test: 12%
Presentation: 12%
Here are the most commonly searched roles for interview reports -
The interview process for a Data Engineer position at Infosys typically includes three rounds: two technical interviews followed by an HR round. The technical rounds focus on your coding skills, SQL, Apache Spark, and data engineering concepts, while the HR round covers behavioral questions and package discussions
Interview questions [1]
Question 1
In the technical interview, you may face scenario-based questions, Python coding, SQL queries, and questions related to Spark and Hive. Additionally, there may be questions on deployment modes in Hadoop and Spark execution memory, RDDs, and data frames.
I have attended and the interview process rocess is good
Asked some questions related to python sql and other cloud related questions and need to write code for basic questions in python and sql
the interview process was good and taken about few weeks to complete., often conducted virtually or in-person within 17 days. Technical rounds heavily emphasize Data Structures, Algorithms, SQL, and project experience, while HR rounds focus on personality and culture fit.
3 rounds were scheduled after initial HR screening ,applied through a referral
1 coding pyspark and sql coding questions
2 spark theory and databricks and adf related questions
3 HR discussion