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Interview tracksData Engineering
Interview track

Data Engineering

Pipelines, warehouses, streaming and data modelling at scale. Practice reasoning about throughput, correctness and cost across the data stack.

Curated & expert-sourced - not AI-invented
10
interviews
Easy → Hard
levels covered
~30 min
average length
Voice-led
adaptive · curated

All interviews 10

Grouped by level - start anywhere

Easy

1 interviews
Data Ingestion Patterns and Pipeline Fundamentals
Curated·Technical·Easy·~30 min
Start

Medium

8 interviews
Apache Spark: Execution Model and APIs
Curated·Technical·Medium·~30 min
Start
Apache Spark: Performance Tuning and Optimization
Curated·Technical·Medium·~30 min
Start
Dimensional Data Modeling: Star Schema and SCDs
Curated·Technical·Medium·~30 min
Start
Fact Data Modeling and Analytical Patterns
Curated·Technical·Medium·~30 min
Start
Data Quality, Testing, and Observability
Curated·Technical·Medium·~30 min
Start
Data Warehousing and Analytics Engineering with dbt
Curated·Technical·Medium·~30 min
Start
Streaming Fundamentals and Apache Kafka
Curated·Technical·Medium·~30 min
Start
Workflow Orchestration and Pipeline Scheduling
Curated·Technical·Medium·~30 min
Start

Hard

1 interviews
Data Engineering in Production: Reliability, Ownership, and Stakeholder Impact
Curated·Behavioral·Hard·~30 min
Start