Amazon | Data Engineer | Interview Experience
Interview Date: Not specified
Result: Not specified
Difficulty: Not specified
Interview Process
The interview process typically includes multiple rounds, focusing on various modules such as SQL, coding, data modeling, data system design, AWS, BI scenario questions, and behavioral questions based on Leadership Principles.
Technical Questions
- SQL: Focus on window functions, complex JOINs, grouping, deduplication, and performance optimization techniques.
- Coding: Data processing problems and basic algorithms using Python.
- AWS: Questions may cover services like S3, Glue, Athena, Redshift, EMR (Spark), Lambda, and Kinesis, including common pitfalls.
Tips & Insights
- Prepare for SQL by practicing advanced queries and understanding performance considerations.
- For coding, ensure proficiency in Python and practice a range of data-related problems.
- Review data system design principles, including batch vs. streaming, idempotency, retry mechanisms, and data quality monitoring.
- Familiarize yourself with Amazon’s Leadership Principles to prepare for behavioral questions.