Interview questions
Preparing for a data engineering interview at Disney+ Hotstar? This page contains 11 real interview questions sourced from verified Disney+ Hotstar interview experiences. Questions are sorted by frequency — the ones asked most often appear first.
Disney+ Hotstar data engineering interviews typically focus on System Design/Architecture, Python/Coding, and Spark/Big Data. The interview bar skews toward harder problems (9 hard vs. 1 easy), suggesting emphasis on depth and system-level thinking.
Use the difficulty filters above to focus your preparation. For each question, attempt your own answer first, then compare with our expert solution. You can also practice these questions in our AI Mock Interview Coach for real-time feedback.
Design an algorithm to merge k sorted lists of video streaming data.
Given an n-ary tree, write code to flatten it and store the output in a list.
Implement an algorithm to find the longest common prefix among an array of strings.
Optimize a function to calculate moving averages of user engagement.
Explain the benefits of using columnar storage formats like Parquet or ORC.
Architect a solution to handle notifications for millions of users with varying preferences.
Describe a strategy for implementing a real-time content delivery monitoring system.
Develop a generic user profile system for Hotstar that accepts inputs from various teams, consolidates into a unified profile, and supports daily updates with aggregation methods.
How would you build a monitoring dashboard for ETL job failures?
How would you design a logging framework to track errors across multiple services?
How would you design a system to support personalized recommendations at scale?
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