Data Engineering
Interview Questions

Curated Q&As from real interviews at top tech companies — organized by tool, concept, and difficulty level.

● Beginner● Intermediate● Advanced

By Tool & Platform

Jump straight to questions for the tool you're being interviewed on.

🐍
Python
View Q&As →
🔥
Apache Spark
View Q&As →
AWS Glue
View Q&As →
🔗
Talend
View Q&As →
🏗️
IBM DataStage
View Q&As →
🔷
Azure Data Factory
View Q&As →
🗄️
SQL Server / SSIS
View Q&As →
🔴
Oracle / ODI
View Q&As →
📐
dbt
View Q&As →
🌀
Apache Airflow
View Q&As →
📨
Apache Kafka
View Q&As →
❄️
Snowflake
View Q&As →

By Topic

Cross-tool concepts that appear in almost every data engineering interview.

📊
SQL & Query Optimization
25 questions with answers
🏛️
System Design
15 questions with answers
🔄
ETL Concepts
30 questions with answers
📐
Data Modeling
20 questions with answers
☁️
Cloud & Infrastructure
18 questions with answers
💬
Behavioral / Project-Based
12 questions with answers

💡 How to Use This Section

1. Filter by your interview tool
If you know you're interviewing for a Talend role, go directly to the Talend questions.
2. Start with Intermediate
Most data engineering interviews skip pure beginner questions and go straight to intermediate.
3. Always prepare a system design
Senior roles (3+ years) always ask you to design a full pipeline from scratch. Practice this.