Everything you need to prepare for a SQL interview at a top tech or finance company. 12 company-specific question tracks, 3 topic deep-dives, 125+ challenges, AI tutoring. Free. No signup.
Each company asks SQL in its own flavor. The questions below are curated based on analysis of real interview reports across data and analytics roles.
FAANG
Amazon
Aggregation, e-commerce analytics, BIE and DA loops
Window functions, analytics-heavy, product sense
Meta (Facebook)
Advanced window functions, experimentation, rigorous
Apple
Product revenue, App Store, Services analytics
Netflix
A/B testing, churn, streaming session analysis
Marketplaces & Consumer
Uber
Marketplace metrics, supply/demand, two-sided retention
Airbnb
Booking funnels, host retention, product thinking
Stripe
MRR math, payment analytics, revenue decomposition
Shopify
GMV, merchant retention, e-commerce funnels
Streaming & Data Infrastructure
Spotify
Sessionization, listening analytics, premium conversion
Databricks
Spark SQL, ETL patterns, Delta Lake, query tuning
Finance
Days 1-10 — Foundations
SELECT, WHERE, GROUP BY, HAVING, all JOIN types (INNER, LEFT, RIGHT, FULL, CROSS, SELF), subqueries, CTEs, basic date functions, and NULL handling. Skip nothing. Every advanced pattern builds on these.
Days 11-20 — Advanced Patterns
ROW_NUMBER, RANK, DENSE_RANK, LAG, LEAD, running totals, rolling averages, top-N per group, cohort retention, sessionization. Window functions appear in ~80% of mid-to-senior SQL interviews — don't under-practice here.
Days 21-30 — Company Drills
Pick your target company from the 12 tracks above and work through their interview patterns. Time-box each problem to 15 minutes. Explain your approach out loud before writing SQL. Redo problems until you can solve them cold without hints.
If you identify a specific gap, drill the pattern before moving to company-specific prep. These are the three topics candidates fail most often.
Window Functions
ROW_NUMBER, RANK, LAG/LEAD, running totals, top-N per group. The single biggest interview gap for most candidates.
JOINs
INNER vs LEFT vs anti-joins vs self-joins. When to use each, and what Google/Meta expect you to know.
CTEs & Subqueries
Multi-step CTEs, correlated subqueries, when to break a query into readable chunks vs collapse it.
FAANG Interview Guide
Deep walk-through of the FAANG SQL interview loop: format, expectations, what to study.
125+ challenges. AI tutor for hints. Pick your company, or let the Coach pick your next question based on where you're weak.
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