SQL + Data Manipulation (SQL/Python) Interview Questions
Practice the exact questions companies are asking right now.
"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"
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"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."
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"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."
Transform event logs with subscription windows in pandas
Using pandas, compute user-level subscription-aligned revenue and anomalies for September 2025. DataFrames: events(user_id:int, ts:UTC datetime, event...
Find top-spend categories per customer with ranking
Using the schema and sample data below, write a single ANSI SQL query (CTEs allowed; no temp tables) that returns, for each customer, their top 2 prod...
Write SQL for percent and window changes
Use PostgreSQL. Assume today = 2025-09-01. You must use CTEs and multiple window functions. Schema and tiny samples are below. Schema: - exposures(uni...
Compute unread and multi-account user percentages
You’re given two tables. Write ANSI-SQL to answer parts (a)–(d). Treat a notification as unread if read_at IS NULL. Denominator for user-level percent...
Compute monthly CRR with merges and gaps
You are given PostgreSQL tables user_profile(user_id, signup_ts, country, is_employee, is_test), user_events(user_id, event_ts, event_type, revenue, p...
Merge four CSVs locally, robustly and efficiently
You receive four CSV files that must be merged locally on a laptop with 8 GB RAM, without relying on cloud services: - products.csv: product_id, categ...
Audit flight data quality from metadata
You’re given an airline on‑time dataset and a one‑page “Metadata” slide that claims: flight_date (string, local time), dep_time/arr_time (HHMM local),...
Write SQL for active counts and YTD top driver
Given the following schema and sample data, write SQL to: (a) return the total count of active riders and active drivers on the platform; (b) return t...
Deduplicate events and rank products with SQL
You are given two tables. Schema: - events(event_id INT PRIMARY KEY, user_id INT, product_id INT, event_time TIMESTAMP, idempotency_key TEXT, amount_c...
Write SQL for hashtag analytics and joins
Assume today = 2025-09-01. Schema and small sample data are below. Use ANSI SQL; explain any dialect-specific functions you choose. Where asked, expla...
Write SQL to localize anomaly and funnel
Given the schema and toy data below, write SQL to (a) validate instrumentation vs behavior change, (b) localize the 2025-09-01 Likes drop by app_versi...
Model schema and query new-market readiness
Assume today is 2025-09-01. You are given (or can propose) a minimal schema to assess new-market readiness and early performance. Use the schema below...
Compute age-band spend and YoY in Georgia
Using ANSI SQL only, answer the three parts below on the following schema and samples. Assume dates are YYYY-MM-DD, paid_amt can be negative (adjustme...
Transform retail data with pandas groupby/merge/concat
Using pandas only (groupby/agg/merge/concat; no for-loops), write code to answer the sub-questions below on the following small dataframes. Assume tim...
Label new vs old users over time in SQL
Define users as “new” during the first 30 days inclusive after their signup_date, and “old” thereafter. Produce per-user, per-day labels over a window...
Compute and rank top bad advertisers
SQL on ad safety. Assume the following schema and sample rows. Use ANSI SQL. Today is 2025-09-01; interpret “last 7 days” as 2025-08-26 00:00:00 to 20...
Implement R dplyr simulation and left join
Using R and dplyr, run a simulation and a join. Data: prices item_id | price_usd 1 | 10.00 2 | 20.00 3 | 30.00 4 | 40.00 catalog item_id | category 1 ...
Compute daily post success rate for last 7 days
You have a table composer(user_id INT, event STRING CHECK(event IN ('enter','post','cancel')), event_date DATE). Compute the post success rate for eac...
Write SQL with HAVING and efficient joins
You are given two tables. Schema - interactions(product_id INT, buyer_id INT, seller_id INT, interaction_date DATE, interaction_type VARCHAR, interact...
Impute missing values without leakage
Given a DataFrame df with columns: user_id, event_date (datetime), country (categorical), device_type (categorical), age (numeric), income (numeric), ...