Amazon Business Intelligence Engineer Data Manipulation (SQL/Python) Interview Questions
Practice 16 real Data Manipulation (SQL/Python) interview questions for Business Intelligence Engineer roles at Amazon.
"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."
Reason About Composite Join Keys and Predicate Placement
A SQL review prompt says that two relations must be matched on a composite key with columns (key_a, key_b). The query under review joins on only key_a...
Identify Most Popular First-Watched Movie in Viewing History
MOVIE_VIEWS +------------+--------------------+------------+ | customer_id| title | date | +------------+--------------------+-----...
Illustrate SQL Join Results with Duplicate Keys
TABLE1 +------+ | col1 | +------+ | 1 | | 1 | | 1 | +------+ TABLE2 +------+ | col1 | +------+ | 1 | | 1 | | 1 | | 1 | | 1 |...
Analyze Seller Compliance and Customer Purchase Patterns
SELLER_STATUS +-----------+------------+-----------+ | seller_id | date | status | +-----------+------------+-----------+ | 1 |2019-0...
Calculate Rolling 7-Day Sum of Answers by Device
ANSWERS +------------+--------+---------+ | date | device | answers | +------------+--------+---------+ | 2019-01-01 | echo | 10 | | 2019...
Identify Unique Unordered City Pairs in Flight Log
FLIGHTS +----------------+---------------+ | departure_city | arrival_city | +----------------+---------------+ | NYC | LAX | | ...
Find Top Three Books by City in Recent Months
BOOK_SALES +------+--------+------------+------------+ | city | asin | sale_date | units_sold | +------+--------+------------+------------+ | NYC ...
Compute First Order Proportions by Day and Category
ORDERS +----------+------------+----------+-------------+ | order_id | date | category | customer_id | +----------+------------+----------+-----...
Identify Frequent Actor-Director Collaborations in Film Database
FILMOGRAPHY +-------+---------+------------+ | actor | dir | date | +-------+---------+------------+ | Tom | Nolan | 2020-01-01 | | Tom ...
Analyze Top Book Sales and Unique Customer Purchases
BOOK_TRANSACTION +---------------+------------+-------------+------+----------+ | MARKETPLACE_ID| TXN_DAY | CUSTOMER_ID | ASIN | QUANTITY | +------...
Calculate Weekly Event Sums from Daily Counts
EVENT_LOG +------------+------+ | event_date | cnt | +------------+------+ | 2025-05-01 | 17 | | 2025-05-02 | 12 | | 2025-05-08 | 30 | +-------...
Identify Top-Buying Customers Daily with SQL Query
PRIME +-------------+------------+----------+ | Customer_ID | Start_Date | End_Date | +-------------+------------+----------+ | 1 | 2025-01-...
Identify Customers Purchasing Every Product in Catalog
X_PURCHASES +-------------+---------+ | customer_id | pro_key | +-------------+---------+ | 1 | A | | 1 | B | | 2 ...
Count Customers Buying Both 'Kindle' and 'Alexa'
ITEMS +---------+-----------+ | ITEM_ID | ITEM_NAME | +---------+-----------+ | 101 | Kindle | | 202 | Alexa | | 303 | Fire TV | ...
Create Monthly Revenue Report for Each Department
DEPARTMENT_REVENUE +------------+---------+-------+ | Department | Revenue | Month | +------------+---------+-------+ | A | 8000 | Jan |...
Identify Employees with Invalid Department References
EMPLOYEE +-----+-----+--------+ | eid | did | ename | +-----+-----+--------+ | 1 | 10 | Alice | | 2 | 11 | Bob | | 3 | 99 | Carol | +--...