SQL + Data Manipulation (SQL/Python) Interview Questions
Practice the exact questions companies are asking right now.
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Write SQL for seller and vehicle metrics
This question evaluates proficiency in SQL data manipulation, including joins, distinct counts, grouping and aggregation, filtering by date and catego...
Write SQL for top drivers and cancellation rates
Question You work on a rideshare / ride-hailing product that connects drivers and riders, with a focus on airport pickups. Using SQL, answer the quest...
Compute delivery metrics and top-K queries
Compute delivery metrics and top-K queries You have restaurant menus and orders for a food delivery platform. Part 1: Given a user location and a set ...
Compute specialty spend share and top age band
You are given healthcare claims data split across member tables. Tables Assume the following schemas (types may be adapted to your SQL dialect): mem1 ...
Implement robust word counts and min/max
You receive a 50GB UTF-8 text corpus on disk. Implement a Python solution that:\n- Streams the file without loading it fully into memory.\n- Counts ca...
Compare list/dict; parse JSON/CSV at scale
Compare Python list and dict precisely: for append/insert/lookup/update/delete, state average and worst-case time complexity, memory implications, and...
Find common friends from directed edges
You have a directed edge list that records who followed whom. A mutual “friendship” exists only if both directions appear (A→B and B→A). Schema and sa...
Implement paginated API ingestion
You are given a REST endpoint GET /orders?page=1&limit=100 that returns JSON objects of the form { "page": n, "per_page": m, "total_pages": T, "data":...
Compute time-spent percentage by app category
You work on Oculus app engagement analytics. Tables user_activity - user_id (BIGINT) - date (DATE) — day of activity (assume UTC) - app_id (INT) - ses...
Justify and harden your analytics and BI stack
List your current analytics tech suite end-to-end (ingestion, storage/warehouse, transformation, orchestration, catalog/lineage, experimentation platf...
Calculate Cohort Retention
You are given two tables: users - user_id BIGINT PRIMARY KEY - signup_ts TIMESTAMP user_events - user_id BIGINT - event_ts TIMESTAMP - event_name VARC...
Implement vectorized NumPy ops and explain broadcasting
Implement vectorized NumPy code for: (a) computing pairwise cosine similarity between two real-valued matrices X (shape n×d) and Y (shape m×d) without...
Analyze document collaboration patterns
You are given two CSV files and asked to analyze collaboration behavior on documents. File 1: document_activity.csv Each row is a document view event....
Explain Pandas and SQL Basics
You are interviewing for a Data Engineer internship. Answer the following short data-manipulation questions: 1. In pandas, what is the difference betw...
Compute unique visitors per department from clicks
Given tables Products(product_id, department, category, subcategory) where department > category > subcategory form a hierarchy, and ClickLog(user_id,...
Top 5 Most Efficient Vehicle Models
This SQL question tests practical data manipulation skills including multi-table aggregation, NULL handling, and conditional filtering across a relati...
Compute seller counts and vehicle share
You are given two tables: 1. listing_interactions - buyer_id BIGINT - seller_id BIGINT - event_date DATE - product_id BIGINT - listing_...
Explain handling very large datasets
Describe a project where you ingested and processed a dataset of at least 500 million rows or 1 TB end-to-end. Detail storage formats and partitioning...
Compute window averages and merge intervals
Compute window averages and merge intervals You are given two independent pandas tasks. 1. Centered sliding-window average - Input DataFrame df with c...
Compute Heavy-Caller Percentages
You are given two tables that track voice calls and daily active users for a messaging app. Table: call_events - call_id BIGINT — unique call identifi...