
GSPANN Technologies 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 GSPANN Technologies.
Data Engineer
I interviewed for this company and successfully cleared all stages. However, they mentioned they're specifically seeking candidates already serving their notice period. Their reasoning is that if they extend an offer to someone not on notice, there's a higher probability of that candidate receiving another offer during their notice period and potentially leveraging the gspann offer. This is their perspective. I advise against interviewing here and wasting your time.
- Can you answer general questions about data engineering and BI?
Big Data Engineer
They took 2 technical rounds F2F. Questions were based on the project, in depth of what and how about project, moderate level coding questions, Architectural questions, spark architecture, hive query optimisations and some SQL queries. Interview was good, second round stretched to around 75mins. Cons: Lack of proper management of Interview, No clearity of the procedure, No transparency at all, Favouritism if you know someone already working in the company, No communication at all.
- Can you explain the spark architecture?
- What are python sets and lists?
- How do you optimize hive queries?
Big Data Developer
First there was a written test with aptitude and some technical questions on Java and big data. Then a technical round where they asked lots of questions on Hadoop components like Hive and Sqoop, and also Spark. Finally, an HR round.
- Questions on Hadoop components like Hive, Sqoop etc. and Spark in the technical interview.
GSPANN Technologies Data Engineer Interview Questions
Quoted word for word from GSPANN Technologies interview reports.
“What are python sets and lists?”
Read reports →“Is it advisable to use a string column for partitioning in BigQuery?”
Read reports →“Could you explain what partitioning means in the context of BigQuery?”
Read reports →“What are strategies for enhancing BigQuery performance?”
Read reports →“How do you optimize hive queries?”
Read report →“Can you explain the spark architecture?”
Read report →“Can you answer general questions about data engineering and BI?”
Read report →Formats, difficulty and experience
Across all 5 GSPANN Technologies interview reports.