Data Manipulation (SQL/Python) Interview Questions
Practice 653 real Data Manipulation (SQL/Python) interview questions for 2026. Covers companies like Meta, Amazon, TikTok, DoorDash, and Capital One. Real questions from actual interviews with detailed solutions — designed for focused interview preparation for data analysts, data scientists, and data engineers who must move fluidly between SQL and Python during live screens and take-home tasks. These questions emphasize practical skills: writing correct, efficient SQL (joins, GROUP BY, window functions, CTEs, NULL handling, and performance-aware predicates) and idiomatic Python/Pandas solutions (vectorized transforms, merges, reshaping, datetime handling, and robust data-cleaning). Interviewers evaluate correctness, edge-case reasoning, runtime and memory tradeoffs, reproducibility, and clear communication of assumptions. Expect timed whiteboard-style queries, pair-programming in a shared editor, and take-home notebooks. To prepare, practice translating SQL ↔ Pandas, explain results aloud, time-box exercises, test edge cases, and review common pitfalls such as NULL semantics, grouping logic, off-by-one errors, and inefficient joins.
"I got asked a hardcore MCM DP question and I saw it on PracHub as well. Solved that question in 5 minutes. Without PracHub I doubt I could solve it in 5 hours. Though somehow didn't get hired, perhaps I guess I solved it too fast? /s"
"Believe me i'm a student here jn US. Recently interviewed for MSFT. They asked me exact question from PracHub. I saw it the night before and ignored it cause why waste time on random sites. I legit wanna go back and redo this whole thing if I had chance. Not saying will work for everyone but there is certainly some merit to that website. And i'm gonna use it in future prep from now on like lc tagged"
"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."
Merge ad CSVs and compute CTR
Using SQL, clean and merge four CSVs and answer all parts exactly. Schema and sample rows (assume types: date is DATE, others INT/VARCHAR): platforms(...
Aggregate video time and unique pins in Python
Part A (category by average time for videos): You receive a list of pin engagement rows and a category map. pins = [ {"pin_id": 10, "category_id": 1,...
Compute Fitness App DAU
You are working on a fitness app. The schema is: users(user_id BIGINT, signup_ts TIMESTAMP, timezone VARCHAR, is_test_user BOOLEAN) and app_events(eve...
Analyze spend and creation-source shifts
You are working with ads data. Assume the following tables, with all timestamps interpreted in UTC. - advertisers(advertiser_id BIGINT, advertiser_cat...
Find users with multi-country successful logins
Given a table login_attempts with columns: user_id (TEXT), timestamp (TIMESTAMP), status (TEXT), and country (TEXT), write an SQL query to return the ...
Compute courier pay with peak-hour rules
Implement compute_pay(deliveries) to calculate a delivery driver's daily pay from a list of delivery records. Each record may include times, miles, ba...
Calculate Total Revenue in USD Using SQL Query
ads_revenue +---------+------------+---------+----------+ | ad_id | country | revenue | currency | +---------+------------+---------+----------+ ...
Calculate Late Delivery Percentage and Top Customers
Orders +-----------+-------------+------------------------+------------------------+ | order_id | customer_id | expected_delivery_date | actual_deliv...
Determine Unhealthy Oculus Usage with SQL Analysis
oculus_sessions +---------+---------------------+---------------------+---------+------------+ | user_id | session_start | session_end |...
Analyze Transactions and Classify by Amount in SQL
transactions +---------------+---------+--------+---------+---------------------+-----------------+ | transaction_id| user_id | amount | status | ts ...
Analyze Cross-Country Call Data for Recent Trends
Users +---------+-------------+----------+ | user_id | signup_date | country | +---------+-------------+----------+ | 1 | 2021-01-04 | US ...
Pre-process Financial Data for Linear Regression Modeling
market_data +------------+----------+----------+--------+ | date | feature1 | feature2 | target | +------------+----------+----------+--------+ ...
Calculate Top Countries' Gmail Usage and MoM Change
emails +----+---------+-----------+-----------+------------+ | id | user_id | country | provider | send_date | +----+---------+-----------+-------...
Compare Spark RDDs, DataFrames, and Spark SQL Benefits
spark_jobs +---------+---------------------+-------+-----------+---------+ | job_id | submit_time | user | memory_gb | status | +---------+...
Analyze User Engagement with SQL Queries
events +----------+---------+---------------------+ | event_id | user_id | event_time | +----------+---------+---------------------+ | 1 ...
Calculate Second-Degree Followers for Each YouTuber
following +----------+----------+ | YouTuber | follower | +----------+----------+ | A | B | | A | C | | B | D ...
Write SQL for Transactions and Customers
You are given two tables: - customers(customer_id INT PRIMARY KEY, signup_date DATE, region VARCHAR, segment VARCHAR) - transactions(transaction_id IN...
Pivot data without date libraries
Transform a tall dataset into a wide, pivoted view without using any date/time libraries. Input: a list of records (date, store_id, metric, value) whe...
Find posts with >60s unconnected viewing time
Context You work on a social app where users can view posts. A view can be from a connected user (viewer is friends/connected with the post author) or...
Count IoT devices matching date and threshold
Implement function numDevices(statusQuery, threshold, dateStr) that returns the number of IoT devices from a paginated REST API that were added in the...