Software Engineer interview at Tiger Analytics

Tiger Analytics·Software Engineer·Reported Jul 2026
Hard

The technical questions leaned toward data engineering. I had two technical rounds on Python and PySpark coding, moderate-difficulty DSA, and Azure Data Factory, so I had to discuss data workflows as well as algorithms.

The questioning sometimes moved quickly and felt argument-driven. I did not feel I had much time to write or iterate on query-like work, which made it harder to show the backend depth I had prepared. I left feeling that the evaluation format did not match the level of detail I was trying to demonstrate.

It was difficult for me and did not end in an offer. The lack of runway for backend and query depth was the part that frustrated me most.

Location: India. Overall feedback: negative. Offer status: no offer.

Published

Curated and edited by PracHub

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Interview at a glance

Company
Tiger Analytics
Role
Software Engineer
Difficulty
Hard
Date
Reported Jul 2026

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