Infogain Data Engineer Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 5 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Infogain.
Infogain
Azure Data Engineer
Mid Difficult Positive experience No offer 1 round
Interview process
Technical screen
Interview formats
Technical
I had a face-to-face interview with Infogain and it was a good experience overall. The interview lasted about an hour and was technical in nature. Unfortunately, I was not selected. They primarily focused on questions related to PySpark and SQL.
Confirmed questions1 question
- Can you tell me about your experience with Spark and data engineering concepts?
Infogain
Data Engineer
Entry Average Negative experience No offer 1 round
Interview process
Recruiter call
Interview formats
Behavioral
My experience with the interview for the Data Engineer role at Infogain was pretty disappointing for a few reasons. The recruiter seemed like they didn't really know much about the job requirements. They hadn't even looked at my resume before we talked, which made the whole thing feel pointless. Also, they didn't seem very interested, making it feel like they were just going through the motions to hit a quota instead of actually trying to see if I'd be a good fit or tell me anything useful about the company or job. Because of how unprofessional it was, I wouldn't recommend this interview to anyone, as it just didn't feel respectful or engaging.
Confirmed questions2 questions
- Can you discuss your past projects?
- Could you tell me about your academic background?
Infogain
Data Engineer
Entry Average Positive experience No offer 3 rounds
Interview process
Take home Technical screen Panel
Interview formats
Technical Coding Behavioral
The interview process had 3 rounds. First was an online exam with sections on aptitude, data engineering, coding, and SQL. Then a technical interview, which was quite long, about 1.5 hours. It started with general questions about my skills, covering Python, SQL, and PySpark at an easy to moderate level. Finally, a managerial round where they asked about my experience, my role in previous teams, and challenges I faced and how I handled critical tasks.
Confirmed questions1 question
- Can you explain the internal workings and architecture of PySpark?
Infogain Data Engineer Interview Questions
Quoted word for word from Infogain interview reports.
“Can you explain user defined functions in PySpark?”
Read reports →“Can you explain the internal workings and architecture of PySpark?”
Read reports →“Tell me about PYSPARK.”
Read reports →“What are your thoughts on SPARK AZURE SYNAPSES?”
Read reports →“Can you discuss AZURE DATABRICKS?”
Read report →“Could you tell me about your academic background?”
Read report →“Can you tell me about your experience with Spark and data engineering concepts?”
Read report →“Can you discuss your past projects?”
Read report →Formats, difficulty and experience
Across all 5 Infogain interview reports.