This guide provides a comprehensive overview of data engineer interviews, focusing on technical skills, problem-solving, and experience with data pipelines and infrastructure. It includes common questions, key areas to focus on, and tips for success.

Key Areas to Focus On:

1. Data Warehousing & ETL/ELT: Demonstrate understanding of data warehousing concepts and experience with ETL/ELT processes.

2. Cloud Platforms & Data Services: Showcase proficiency with cloud-based data services and infrastructure.

3. SQL & Programming: Highlight strong SQL skills and experience with programming languages like Python.

4. Data Modeling & Optimization: Explain data modeling techniques and methods for optimizing query performance.

5. Data Pipelines & Infrastructure: Demonstrate ability to design, build, and maintain scalable data pipelines.