Are these challenges good for PySpark interview preparation?

Yes. Many of the problems are designed around joins, transformations, ETL bugs, and performance tuning topics that appear in data engineering interviews.

Can beginners use the challenge arena?

Yes. The arena includes easy, medium, and hard problems across PySpark, SQL, and Python so you can grow from fundamentals to advanced problem solving.

Do I get instant feedback on my solution?

Yes. You can run code, review output, inspect tests, and retry quickly, which makes the page useful for deliberate practice.

Why does this help with data engineering jobs?

It builds hands-on skill with the same kinds of transformations, debugging tasks, and SQL reasoning used in ETL pipelines and analytics workflows.

Data Engineering Coding Challenges

Practice PySpark, SQL & Python with instant feedback, a live leaderboard, and a weekly boss battle.

VishalSenior Engineer

Lv 14

12,450 XP · 2,550 to Level 15

🔥

day streak

✅

147

solved

🏆

this week

12 problems

PySpark

medium

Fix the Broken Pipeline

DataFrame Operations

joinsdebugging

68% solved ⏱ 20 min+75 XP

Start Challenge

SQL

mediumSolved

Top 3 Products per Category

Window Functions

window functionsRANK

62% solved ⏱ 25 min+100 XP

Retry Challenge

PySpark

hard

Optimize the 100M-Row Join

Performance

broadcastpartitioning

12% solved ⏱ 45 min+200 XP

Start Challenge

Python

easySolved

Word Frequency Counter

Data Structures

dictstrings

91% solved ⏱ 10 min+50 XP

Retry Challenge

SQL

medium

Running Total Revenue

Window Functions

SUM OVERrunning total

63% solved ⏱ 20 min+100 XP

Start Challenge

PySpark

medium

Parse Apache Logs with Regex

String Processing

regexp_extractregex

55% solved ⏱ 30 min+120 XP

Start Challenge

SQL

easy

Find Duplicate Emails

Aggregation

GROUP BYHAVING

95% solved ⏱ 10 min+50 XP

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SQL

hard

Median Salary per Department

Window Functions

ROW_NUMBERwindow

20% solved ⏱ 40 min+180 XP

Start Challenge

PySpark

easySolved

Pandas → PySpark Migration

DataFrame Basics

filtergroupBy

85% solved ⏱ 15 min+60 XP

Retry Challenge

Python

hard

Anomaly Detection (Z-Score)

Algorithms

numpystatistics

11% solved ⏱ 55 min+220 XP

Start Challenge

PySpark

hard

PySpark Structured Streaming

Streaming

streamingwindow

15% solved ⏱ 50 min+200 XP

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SQL

easy

Second Highest Salary

Subqueries

subqueryLIMIT

94% solved ⏱ 10 min+50 XP

Start Challenge