This guide prepares candidates for an interview for a Senior Data Engineer role, focusing on designing data models, building scalable data pipelines, enhancing data quality, and applying modern software development practices. It includes questions related to Python, Spark, Airflow, AWS data services, and SQL.

Key Areas to Focus On:

1. Data Modeling & Architecture: Demonstrate expertise in designing and implementing data models.

2. Scalable Data Pipelines: Showcase your ability to build and optimize data pipelines using Spark, Airflow, and AWS services.

3. Modern Software Development Practices: Highlight your experience applying Agile, TDD, and CI/CD to data engineering.

4. Data Quality & SQL: Demonstrate your ability to enhance data quality and work with relational databases.

5. Large-Scale Data Projects & Problem-Solving: Emphasize your experience with complex data projects and problem-solving.