30-Day SQL Program for Data Engineers Targeting FAANG Interviews (Free Resources)
This 30-day roadmap is designed for data engineers preparing for FAANG interviews, leveraging only free, high-quality resources. The plan is structured to build foundational knowledge, advance to complex queries, and master real interview problems, with daily practice and review.
Week 1: SQL Fundamentals
Day 1-2: Introduction to SQL, Database Concepts
- Learn about RDBMS, tables, and basic SQL structure
- Resource: SQLBolt (Lessons 1-3)
Day 3-4: Basic SQL Commands
- SELECT, WHERE, ORDER BY, LIMIT
- Resource: SQLBolt (Lessons 4-6), DataLemur’s 30-Day Roadmap5
Day 5: Filtering and Sorting
- Practice filtering with WHERE, sorting with ORDER BY
- Resource: DataLemur SQL Tutorials5
Day 6-7: Working with Multiple Tables
- Understanding JOINs (INNER, LEFT, RIGHT, FULL)
- Resource: SQLBolt (Lessons 7-9), DataLemur5
Week 2: Aggregations and Intermediate Queries
Day 8-9: Aggregations
- COUNT, SUM, AVG, MIN, MAX, GROUP BY, HAVING
- Resource: Mode Analytics SQL Tutorial, DataLemur5
Day 10: Subqueries
- Writing and using subqueries in SELECT, FROM, WHERE
- Resource: SQLBolt (Lesson 13), DataLemur5
Day 11-12: Real-World Problem Solving
Day 13-14: SQL Execution Order & Query Optimization Basics
Week 3: Advanced SQL Concepts
Day 15-16: Window Functions
- ROW_NUMBER, RANK, DENSE_RANK, LEAD, LAG
- Resource: Mode Analytics, DataLemur5
Day 17-18: Common Table Expressions (CTEs)
- Syntax and use cases for CTEs
- Resource: DataLemur, SQLBolt (Lesson 14)5
Day 19: CASE Statements and Conditional Logic
- Using CASE for conditional queries
- Resource: DataLemur, SQLBolt5
Day 20: Advanced Filtering, Nested Queries
Day 21: Practice: Intermediate SQL Problems
Week 4: Performance, Design, and Interview Prep
Day 22: Indexes and Performance Optimization
Day 23: Stored Procedures and Functions
Day 24: Transactions and Error Handling
Day 25: Data Modeling & Schema Design
Day 26-27: Advanced SQL Problems
- Tackle FAANG-level SQL interview questions (complex joins, window functions, analytics)
- Resource: DataLemur FAANG SQL Problems, StrataScratch, DataEngineerAcademy35
Day 28: System Design for Data Engineers
- Practice explaining schema and data pipeline designs
- Resource: DataEngineerAcademy, DataLemur Interview Guide13
Day 29: Mock Interviews & Whiteboard Practice
Day 30: Portfolio Project & Review
- Build a small project (e.g., analytics dashboard or ETL pipeline using SQL)
- Review mistakes, revisit weak areas
- Resource: DataLemur, SQLBolt, Mode Analytics5
Key Free Resources
Resource | Use Case |
---|---|
SQLBolt | Interactive SQL basics |
DataLemur | Tutorials, interview questions |
StrataScratch | Real interview problems |
Mode Analytics | Intermediate/advanced SQL |
DataEngineerAcademy | FAANG-specific SQL prep |
LinkedIn Roadmap | Structured daily learning |
Tips for Success
- Practice daily: Consistency is crucial.
- Solve real interview questions: Focus on FAANG-style problems35.
- Explain your logic: Practice verbalizing your thought process12.
- Simulate interviews: Use whiteboard or online tools for mock interviews25.
- Review and reflect: Spend time on mistakes and revisit tough concepts45.
This roadmap, if followed with discipline and curiosity, will prepare you for the SQL portion of any FAANG data engineering interview using only free, high-impact resources135.
- https://datalemur.com/blog/sql-interview-guide
- https://www.stratascratch.com/blog/sql-interview-questions-you-must-prepare-the-ultimate-guide/
- https://dataengineeracademy.com/blog/faang-interviews-prep/
- https://www.linkedin.com/pulse/30-day-roadmap-learn-sql-data-analysis-suraj-kumar-soni-9pohc
- https://datalemur.com/blog/learn-sql-in-30-days-roadmap
- https://www.datacamp.com/blog/top-sql-interview-questions-and-answers-for-beginners-and-intermediate-practitioners
- https://www.reddit.com/r/SQL/comments/12nzhwm/best_free_platform_to_practice_hard_sql_questions/
- https://www.datacamp.com/blog/top-21-data-engineering-interview-questions-and-answers
- https://www.nicksingh.com/posts/30-sql-and-database-design-questions-from-real-data-science-interviews
- https://www.stratascratch.com/blog/data-science-sql-interview-questions-from-faang-companies/