Tiger Analytics Architect Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 6 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Tiger Analytics.
Tiger Analytics
Data Architect
Senior Difficult Negative experience No offer 1 round
Interview process
Recruiter call Technical screen
Interview formats
Technical Coding
I interviewed with Tiger Analytics and was pretty let down by how it went. They rescheduled my interview for a day earlier than planned, which I managed to make work. But then, during the actual interview, the person interviewing me seemed like they hadn't prepared and wasn't sure about things, making it seem like they'd already decided to reject me. This whole thing made me doubt how professional they are and how they handle interviews. Because of this, I won't be looking for jobs there again or recommending them to anyone.
Confirmed questions5 questions
- Could you detail the main parts of Apache Spark's architecture, and explain what Spark Executors and Spark Driver are, along with how they interact?
- What distinguishes a DataFrame from an RDD within Spark?
- What are the primary roles of the Spark Catalyst Optimizer?
Tiger Analytics
Principal Architect
Executive Difficult Positive experience No offer 4 rounds
Interview process
Technical screen Take home Onsite Presentation Background check Offer
Interview formats
Technical Case Presentation Behavioral
The interview process consisted of several rounds: technical, a case study, managerial, and HR. The case study was challenging and required presenting a solution via a PowerPoint presentation. The other rounds were standard and of average difficulty.
Confirmed questions1 question
- Second round case study based
Tiger Analytics
Data Architect
Mid Difficult Negative experience No offer 4 rounds
Interview process
Recruiter call Technical screen Onsite Offer
Interview formats
Technical Behavioral
The overall experience was good, but felt a bit useless. It seemed like they conducted interviews just for the sake of it, making us believe in every round. They took us to the final round, but then said the feedback wasn't positive.
Confirmed questions2 questions
- Questions about my background and experience relevant to the role
- Technical questions
Tiger Analytics Architect Interview Questions
Quoted word for word from Tiger Analytics interview reports.
“What distinguishes a DataFrame from an RDD within Spark?”
Read reports →“How does Spark ensure fault tolerance?”
Read reports →“Explain Spark's lazy evaluation, and tell me why it's a good thing.”
Read reports →“Could you detail the main parts of Apache Spark's architecture, and explain what Spark Executors and Spark Driver are, along with how they interact?”
Read reports →“What are the primary roles of the Spark Catalyst Optimizer?”
Read report →“Could you design a data model for a DWH scenario and write some simple queries?”
Read report →Formats, difficulty and experience
Across all 6 Tiger Analytics interview reports.