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."
Analyze Acquisition Channels for User Value and Retention
acquisition | user_id | acquire_channel | acquire_date | | 101 | organic | 2023-01-05 | | 102 | paid_search | 2023-01-06 | | 103 | social_media | 2023...
Create Country-Level Spend Report Using Pandas
users +---------+---------+ | user_id | country | +---------+---------+ | 1 | US | | 2 | CA | | 3 | US | +---------+-...
Resolve Ties for Top-10 Users in SQL Query
Oculus_Scores +---------+-------+ | user_id | score | +---------+-------+ | u1 | 95 | | u2 | 92 | | u3 | 90 | | u4 | 90 ...
Calculate User Deviation from Team Average Messages
usage_stats +---------+---------+---------------+------------+ | user_id | team_id | messages_sent | date | +---------+---------+---------------...
Measure Pirate-Theme Usage and Revenue Growth Over Time
theme_usage +-----------+------------+-------------+ | user_id | theme_name | created_at | +-----------+------------+-------------+ | 101 | p...
Analyze Top 10 Items' Revenue Contribution by Category
sales +----------+------------+---------+---------+------------+ | order_id | category | item_id | revenue | order_date | +----------+------------+-...
Analyze TSV File for User Page Visits and Patterns
visits +-----------+-----------+------+ | person_id | timestamp | page | +-----------+-----------+------+ | 1 | 100 | A | | 1 ...
Compute and Rank Store Revenue by Region Using Pandas
Sales +------------+---------+------------+--------+---------+ | date | store_id| product_id | units | revenue | +------------+---------+------...
Analyze Ad CTR and Convert Transactions to USD
AdsImpressions +-----------+---------+------------+--------+-----------+ | user_id | ad_id | impressions| clicks | event_dt | +-----------+------...
Improve YoY Revenue Analysis with Complementary Metrics
ads_revenue +------------+-----------+ | date | revenue | +------------+-----------+ | 2023-01-01 | 120000 | | 2023-02-01 | 125500 | | 2...
Identify Top Three Active Users by Event Date
event_log +------------+---------+-----------+---------------------+ | event_date | user_id | event_type| event_timestamp | +------------+--------...
Analyze Order Spending Patterns Across Cities Using SQL
Orders order_id | user_id | order_date | city | order_value 1 | 101 | 2023-01-03 | LA | 23.50 2 | 102 | 2023-01-04 | NY | 45.00 3 | 101 | 2023-01-10 |...
Compute Effective Reads with SQL and Python Streaming
post_read_events +----------+---------+-----------+---------+--------------------+---------------------+---------------------+ | event_id | user_id | ...
Identify Transactions During 'Golden' Membership Period
transaction +-----------+---------+------------+---------+ | trans_id | user_id | trans_date | amount | +-----------+---------+------------+--------...
Query Active Loans by Borrower ID in SQL
loans +---------+------------+----------+-----------+---------------+ | loan_id | borrower_id| amount | status | payment_date | +---------+-----...
Determine Tutorial Completion Rate by Variant in 7 Days
users | user_id | sign_up_at | tutorial_variant | | 101 | 2023-08-01 | original | | 102 | 2023-08-02 | variant | | 103 | 2023-08-02 | original | | 104...
Identify Key Metrics for Monitoring Shipment Defects
shipment +-------------+----------+------------+---------+---------+ | shipment_id | order_id | ship_date | carrier | status | +-------------+------...
Merge and Clean Customer Order Data for Analysis
customers +----+---------+---------+ | id | name | country | +----+---------+---------+ | 1 | Alice | US | | 2 | Bob | UK | | 3 ...
Ensure Correct Numeric Ordering in Visit ID Comparison
visits +----------+---------+-----------+---------------------+ | visit_id | user_id | page | visit_ts | +----------+---------+-------...
Identify Users with Specific Page Navigation Patterns
page_visits +------------+---------+---------+---------------------+ | visit_date | user_id | page_id | ts | +------------+---------+...