Chubb Data Engineer Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 12 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Chubb.
Chubb
Data Engineer
Mid Average Neutral experience No offer 1 round
Interview process
Recruiter call Phone screen
Interview formats
Technical Coding
I had a 30-minute virtual interview after a recruiter call. The interviewer focused on Data Modelling, Data Bricks, and Azure. They didn't test my coding skills in this round. It went pretty well, and I could answer most questions, though a couple slipped my mind.
Confirmed questions8 questions
- Could you explain the distinction between system-assigned managed identities and user-defined identities in Azure?
- How can data be secured in Azure Data Lake Storage using various methods?
- Regarding Data Bricks, what differentiates mounting from volumes?
Chubb
Data Engineer
Mid Average Positive experience Accept offer 3 rounds
Interview process
Recruiter call Technical screen Panel
Interview formats
Behavioral Technical
The interview process for the Data Engineer role had 3 parts: first, an HR chat, then a technical interview with the Line Manager, and finally, an interview with the Hiring Manager (who is the Head of HR). The HR folks were nice. My Line Manager was really knowledgeable and we had a good discussion about my past projects and the technologies I've used. The interview with the Hiring Manager felt like it was designed to test how I perform under pressure, so be ready for that. All in all, it was a good experience.
Confirmed questions3 questions
- Can you tell me why you are interested in working at Chubb?
- Describe yourself in five words.
- Could you explain what a Garbage Collector is in Python?
Chubb
Data Engineer
Entry Easy Positive experience Accept offer 2 rounds
Interview process
Technical screen Onsite
Interview formats
Technical Coding Technical
I had a small technical interview first. Then, an onsite interview where I had to show my coding skills in areas like sorting, hashing, SQL, graphs, and tree traversals (BFS, DFS), as well as sliding window problems. After that, they asked me about data engineering concepts such as ETL, ELT, and MapReduce.
Confirmed questions4 questions
- Could you explain inner joins?
- What are tuples?
- What's the difference between OLTP and OLAP?
Chubb Data Engineer Interview Questions
Quoted word for word from Chubb interview reports.
“Write a SQL query to find employees who are not associated with any projects, given employee and project tables.”
Read reports →“Regarding Data Bricks, what differentiates mounting from volumes?”
Read reports →“What's the difference between a data lake and a lakehouse?”
Read reports →“Could you explain what a Garbage Collector is in Python?”
Read reports →“How can data be secured in Azure Data Lake Storage using various methods?”
Read report →“What are the pros and cons of using Parquet files?”
Read report →“What methods exist for installing libraries in Data Bricks?”
Read report →“What are tuples?”
Read report →“What are the various cluster types available in Data Bricks?”
Read report →Formats, difficulty and experience
Across all 12 Chubb interview reports.