Data Engineer System Design Interview Questions
Practice the exact questions companies are asking right now.

"10 years of experience but never worked at a top company. PracHub's senior-level questions helped me break into FAANG at 35. Age is just a number."

"I was skeptical about the 'real questions' claim, so I put it to the test. I searched for the exact question I got grilled on at my last Meta onsite... and it was right there. Word for word."

"Got a Google recruiter call on Monday, interview on Friday. Crammed PracHub for 4 days. Passed every round. This platform is a miracle worker."

"I've used LC, Glassdoor, and random Discords. Nothing comes close to the accuracy here. The questions are actually current — that's what got me. Felt like I had a cheat sheet during the interview."

"The solution quality is insane. It covers approach, edge cases, time complexity, follow-ups. Nothing else comes close."

"Legit the only resource you need. TC went from 180k -> 350k. Just memorize the top 50 for your target company and you're golden."

"PracHub Premium for one month cost me the price of two coffees a week. It landed me a $280K+ starting offer."

"Literally just signed a $600k offer. I only had 2 weeks to prep, so I focused entirely on the company-tagged lists here. If you're targeting L5+, don't overthink it."

"Coaches and bootcamp prep courses cost around $200-300 but PracHub Premium is actually less than a Netflix subscription. And it landed me a $178K offer."

"I honestly don't know how you guys gather so many real interview questions. It's almost scary. I walked into my Amazon loop and recognized 3 out of 4 problems from your database."

"Discovered PracHub 10 days before my interview. By day 5, I stopped being nervous. By interview day, I was actually excited to show what I knew."

"I recently cleared Uber interviews (strong hire in the design round) and all the questions were present in prachub."
"The search is what sold me. I typed in a really niche DP problem I got asked last year and it actually came up, full breakdown and everything. These guys are clearly updating it constantly."
Define metrics and data model for product features
You are interviewing for a full-stack/data-oriented role. For each of the following product areas, answer Product Sense and Data Modeling prompts. Cho...
Evaluate credit-limit increase profitability
Business/Analytics Case: Credit Limit Increase Strategy You are a data scientist supporting a consumer credit business. Scenario The company is consid...
Evaluate impact of short videos in feed
Scenario You work on a social app’s main News Feed. The team wants to introduce a short-form video module ("Reels") into the feed. Prompt 1. How would...
Model entities for feed content and shares
Scenario You are designing the data model for a social app’s News Feed that shows multiple content types (text, image, short video). Users can interac...
Design tables for KPI dashboard
You need to design the analytical data model behind a KPI dashboard for a large-scale photo-sharing app. Raw source tables: - users(user_id, user_name...
Design batch and streaming ETL architecture
System Design: End-to-End Data Platform for Product Analytics (Batch + Near-Real-Time) Context Design a scalable data platform for a large consumer pr...
Design a scalable dimensional model
Design a Dimensional Model for Transactional Analytics (Concrete Example Included) You are building a star-schema in a cloud data warehouse for near r...
Design tables for event-driven metrics
Design a Relational Schema for Consumer-App Event Analytics Context and Assumptions You are designing the event store for a high-volume consumer app. ...
Design a Warehouse for Key Metrics
Design a Warehouse Model for Marketplace Analytics You are designing a warehouse model for an e-commerce marketplace with buyers, sellers, orders, ord...
Design KPI tables, retention, rollups, timezone
You are building a fast KPI dashboard for Nextagram. The raw tables are: - users(user_id PK, username, created_at TIMESTAMP) - photos(photo_id PK, use...