Ganit Interview Questions
The questions to prepare for Ganit interviews, across all roles. Questions from real interview reports rank first. Updated daily.
Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
Explain what a p-value means, how it relates to statistical significance, and how to describe it clearly to non-technical stakeholders.
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Framework for choosing a feature's primary success metric and guardrails before launch.
Explain how RANK() and DENSE_RANK() handle ties differently in ordered SQL results such as leaderboards.
Translate PySpark DataFrame transformations into PostgreSQL SQL using joins, ranking, lag values, and cumulative totals.
Answer two SQL data-manipulation questions and one Python question using the supplied users, posts, and comments data.
RedditSummarize SQL concepts by interview round, including rounds without SQL topics and average planned depth.
EXL ServiceTests SQL proficiency for deduplication and data quality checks.
Tests quantitative reasoning and probabilistic thinking under ambiguity.
Assesses your baseline Python knowledge relevant to data engineering work.
Assesses your breadth across a modern data engineering stack and how you apply it in practice.