DataArt Data Engineer Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 7 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at DataArt.
DataArt
Senior Data Engineer
Senior Average Neutral experience No offer 3 rounds
Interview process
Recruiter call Technical screen Onsite
Interview formats
Technical Coding Behavioral
First, I had a screen with HR. Then, a 90-minute all-in-one interview covering technical questions, short Python and SQL coding exercises, and a talk with the Project Manager about methodology and the team. After that, there was a final interview with the client, which was supposed to be confirmed, but HR stopped responding.
Confirmed questions2 questions
- Can you tell me about relevant projects and best practices?
- How do you handle idempotent processes with a Spark worker manager?
DataArt
Data Engineer
Mid Average Negative experience No offer 7 rounds
Interview process
Recruiter call Phone screen Take home Technical screen Onsite Background check Offer
Interview formats
Technical Coding Behavioral
The process was long, with about 7 stages, and I was rejected at the last one which was supposed to be just a formality. Of the stages, the most important were the English level assessment with an instructor, and the technical interview. There was also a challenge that took, I think, a week to deliver, which was very annoying.
Confirmed questions1 question
- What are various questions related to BigQuery?
DataArt
ETL Developer
Mid Average Positive experience Accept offer 2 rounds
Interview process
Recruiter call Technical screen
Interview formats
Technical Coding
The interviewers were super nice and made me feel welcome. The questions were pretty standard and not too tough, which I found engaging. The whole thing was quick, which is great because I'm not a fan of lengthy interviews.
Confirmed questions1 question
- How would you implement an OLTP system with three distinct sources?
DataArt Data Engineer Interview Questions
Quoted word for word from DataArt interview reports.
“What are Sensors in Airflow?”
Read reports →“Can you explain the difference between Python lists and tuples?”
Read reports →“What are callbacks in Airflow?”
Read reports →“What are DBT Operators in Airflow?”
Read reports →“What are the different materialization types in Snowflake?”
Read report →“What is DWH theory?”
Read report →“How do you handle idempotent processes with a Spark worker manager?”
Read report →“Could you write some SQL code for Snowflake?”
Read report →“How would you implement an OLTP system with three distinct sources?”
Read report →Formats, difficulty and experience
Across all 7 DataArt interview reports.