DSA for Data Engineering Interviews
From sliding windows to topological sort — mapped directly onto Spark, Flink, Kafka, Airflow, and the warehouse. This handbook covers 10 core DSA patterns with 50 solved problems, 100 interview questions, and 6 cheat sheets — all written in Python and SQL with real data engineering context.
Does any of this sound familiar?
You're not alone — most people feel exactly this way.
You understand the concepts but freeze up when solving problems under interview pressure
You have spent months on LeetCode with no structure — grinding randomly and burning out
You keep getting filtered out at the coding round before you even get to show your real skills
You are not sure which DSA topics actually matter for data analyst and data engineer roles
You solve problems slowly and run out of time during technical assessments
You have failed interviews you were otherwise well-prepared for — all because of DSA
If you nodded to even one of these — this is exactly what this kit is built for. 👇
What's Included
10 Core DSA Patterns
Sliding Window, Two Pointers, Merge Intervals, Binary Search, Hashing, Sorting, Heap, Greedy, Dynamic Programming, and Topological Sort — each mapped to real pipeline use cases.
50 Solved Problems
Every pattern chapter includes 5 fully worked problems with brute force, optimized solution, dry run, and complexity analysis in Python and SQL.
100 Interview Questions
Top 100 data engineering DSA questions covering all patterns, organized by difficulty — ready for FAANG and product company rounds.
6 Cheat Sheets
Quick-reference sheets for all 10 patterns so you can revise fast before any interview without re-reading chapters.
Pattern Decision Flowchart
A visual guide to instantly identify which DSA pattern fits a problem — stops you from wasting time during live interviews.
DSA Applied to Real Systems
See exactly how each pattern shows up in Spark jobs, Airflow DAGs, Kafka streams, and warehouse queries — not just toy problems.
Who is this for?
Frequently asked questions
Ready to accelerate your data career?
Join 500+ learners who have already taken the leap.