PySpark.inData Engineering

PySpark, SQL & Python Practice Challenges

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

Data engineering coding practice

Practice PySpark and SQL with instant feedback.

hands-on exercises with ready-to-use datasets. Run your code, check the test results, and practice joins, window functions and aggregation.

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  • Problems tagged by company
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Every one of the 228 practice problems on PySpark.in, grouped by technology and topic. Use the filters and search above to narrow things down, or pick a problem directly from here.

PySpark 63 challenges

Adaptive Query Execution

Aggregation

Broadcast Join Optimisation

Data Quality Validation

DataFrame Basics

DataFrame Deduplication

DataFrame Operations

Deduplication with ROW_NUMBER

Delta Lake MERGE / SCD Type 1

Delta Lake MERGE / SCD Type 2

Explode Nested JSON Arrays

GroupBy Aggregations

Incremental Load with CDC

Incremental Processing

Joins

Null Handling and Data Cleaning

Performance

Performance Optimization

Pivot and Unpivot DataFrames

PySpark SQL Optimisation

Rules Engine

Schema Evolution

String Processing

Structured Streaming

Window Functions

SQL 145 challenges

Aggregation

CASE WHEN Pivoting

CTEs

Date Functions

DAU / WAU / MAU Metrics

Deduplication with ROW_NUMBER

Filtering

Funnel Analysis

Gap and Island Problems

Joins

SCD Type 2

Session Analysis

String Processing

Subqueries

Subquery

Subquery vs CTE Patterns

Window Functions

Python 20 challenges

Basics

Data Structures

Data Validation Pipeline

Dictionary and Counter

Filtering

Heap / Priority Queue

JSON Manipulation

JSON Processing

LRU Cache

Pandas GroupBy Aggregation

Regular Expressions

Sliding Window

Sorting with Custom Comparators

Strings