Data Engineering Skill Quizzes
Data Engineering Skill Assessments
This section provides structured skill assessments designed to evaluate a data engineer’s ability to reason about production systems, architectural trade-offs, and operational constraints.
The assessments are intended for engineers working with modern data platforms and reflect expectations commonly seen in mid to senior engineering roles.
Assessment Catalog
| Technology | Focus Areas | Assessment |
|---|---|---|
| Databricks | Lakehouse architecture, Delta Lake internals, ACID guarantees, storage optimization, and performance tuning. | Begin → |
| PySpark | Distributed execution model, joins and shuffles, partitioning strategies, and scalable ETL design. | Begin → |
| Snowflake | Cloud data warehousing, virtual warehouse sizing, concurrency handling, and cost-performance trade-offs. | Begin → |
Assessment Design Principles
Questions are based on real production scenarios rather than theoretical definitions.
Multiple solution paths may exist; answers are evaluated on reasoning and trade-offs.
Emphasis is placed on reliability, performance, cost, and maintainability.
Content aligns with expectations for engineers responsible for operating systems at scale.