Brillio Data Engineer Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 14 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Brillio.
Brillio
Senior Data Engineer
Senior Average Neutral experience Accept offer 3 rounds
Interview process
Recruiter call Technical screen Onsite
Interview formats
Behavioral Technical
It was fine and smooth, client interviews take time. It was fine and smooth, client interviews take time. It was fine and smooth, client interviews take time. It was fine and smooth, client interviews take time. It was fine and smooth, client interviews take time.
Confirmed questions1 question
- Tell me about the most challenging work you've accomplished.
Brillio
Data Engineer
Entry Easy Positive experience Accept offer 3 rounds
Interview process
Recruiter call Technical screen Take home
Interview formats
Technical Coding
It was an on-campus hiring drive for freshers. They asked basic questions covering DBMS, Python, and SQL. There were also two coding questions: one for palindrome number and another for bubble sort. Additionally, they asked to identify errors in a given program and then discussed the concepts of local and global scope.
Confirmed questions1 question
- Could you write the code for a palindrome number?
Brillio
Data Engineer
Mid Average Positive experience No offer 3 rounds
Interview process
Technical screen Onsite
Interview formats
Technical Coding System Design Behavioral
The interview process had 3 rounds. Round 1 was a technical discussion covering the tech stack, SQL, and programming. They asked questions about Spark, S3, Redshift, Lambda, and EmR. Round 2 was split; the first half was technical, focusing on applying different architectural techniques and design patterns in data pipelines. The second half was about management, team structure, any escalations faced, and lessons learned.
Confirmed questions8 questions
- Can you explain why Apache Spark is better than MapReduce?
- Describe the difference between Repartition and Coalesce in Spark.
- What coding questions did you encounter?
Brillio Data Engineer Interview Questions
Quoted word for word from Brillio interview reports.
“Describe the difference between Repartition and Coalesce in Spark.”
Read reports →“Could you please write a piece of code that squares a given number?”
Read reports →“Could you write the code for a palindrome number?”
Read reports →“What are the different services available in Azure?”
Read reports →“Can you explain why Apache Spark is better than MapReduce?”
Read report →“What are the basic concepts of a data warehouse?”
Read report →“Can you provide an SQL example demonstrating the use of lag, lead, and window partition functions?”
Read report →“What do you understand by cloud computing?”
Read report →“Tell me about the topic of generative AI.”
Read report →Formats, difficulty and experience
Across all 14 Brillio interview reports.