SQL for Data Engineering Interviews — From Zero to FAANG
The only SQL course built entirely from real Data Engineering interview rounds at Meta, Amazon, Google, and 10+ top companies. 11 chapters. 85+ exercises. Interview-ready in 15 hours.
About This Course
What You'll Learn
Course Curriculum (11 Modules)
SQL Foundations — What Every DE Must Know
What SQL is, how databases organize data into schemas and tables, and where SQL fits in the DE interview process.
DDL, DML & Database Architecture
CREATE, ALTER, DROP, INSERT, Key Constraints, Dimension vs Fact tables, and the querying habits every DE needs.
Querying Data — SELECT, Calculations & Sorting
From simple SELECTs to nested queries, type casting, DISTINCT, ORDER BY, and LIMIT/OFFSET — ending with a real Amazon phone screen problem.
Filtering & Conditions — WHERE, CASE & NULLs
Comparison operators, AND/OR/NOT, BETWEEN, IN, LIKE, CASE expressions, and the tricky NULL handling that catches 80% of candidates.
Aggregations — SUM, COUNT, MIN, MAX & AVG
SUM, COUNT, MIN, MAX, AVG with grouping and conditional logic — the bread and butter of every DE interview.
Essential Functions — Dates, Strings & Numbers
DATE_TRUNC, EXTRACT, CONCAT, SUBSTRING, COALESCE, NULLIF, and the numeric/string functions that show up in every pipeline interview.
GROUP BY, HAVING & GROUPING SETS
Single and multi-column grouping, HAVING for filtered aggregations, and advanced GROUPING SETS, ROLLUP & CUBE.
Mastering JOINs — All 8 Types with Real Scenarios
8 JOIN types across 24 exercises — INNER, LEFT, RIGHT, FULL OUTER, CROSS, Self, Multi-Table, and Exclusion Joins with real FAANG problems.
Set Operations — UNION & UNION ALL
UNION vs UNION ALL — when to use each and how interviewers test set operations in disguise.
Window Functions — The Ultimate Senior DE Skill
32 exercises covering ROW_NUMBER, RANK, DENSE_RANK, LAG, LEAD, NTILE, FIRST_VALUE, Window Framing — the #1 senior DE filter.
Subqueries & CTEs — Writing Clean, Readable SQL
Inline subqueries, correlated subqueries, and Common Table Expressions (CTEs) — the standard for production SQL in every data pipeline.
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