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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

3 Rounds average
Average Typical difficulty
20% Positive experience

Candidate interview experiences

First-hand accounts from people who interviewed at GSPANN Technologies.

Showing 3 of 5
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GSPANN Technologies

Data Engineer

Engineering · more than a year ago

Entry Average Negative experience No offer 3 rounds
Interview process
Recruiter call Technical screen Onsite Background check Offer
Interview formats
Technical Behavioral

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.

Confirmed questions1 question
  • Can you answer general questions about data engineering and BI?
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GSPANN Technologies

Big Data Engineer

Engineering

Mid Average Neutral experience No offer 2 rounds
Interview process
Technical screen Technical screen
Interview formats
Technical Coding System Design

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.

Confirmed questions4 questions
  • Can you explain the spark architecture?
  • What are python sets and lists?
  • How do you optimize hive queries?
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GSPANN Technologies

Big Data Developer

Engineering

Mid Average Positive experience No offer 3 rounds
Interview process
Technical screen Technical screen Recruiter call
Interview formats
Technical Technical

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.

Confirmed questions1 question
  • 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.

Is it advisable to use a string column for partitioning in BigQuery?

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Could you explain what partitioning means in the context of BigQuery?

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Can you answer general questions about data engineering and BI?

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Formats, difficulty and experience

Across all 5 GSPANN Technologies interview reports.

Interview formats

Technical 54.5%
Coding 27.3%
Behavioral 9.1%
System Design 9.1%

Interview difficulty

Easy 20%
Average 80%
Difficult 0%

Candidate experience

Negative 60%
Positive 20%
Neutral 20%