The example projects, decoded

The JD names three example projects. They are not random - they are the interview's center of gravity and each one maps almost 1:1 to a deep-dive module later in this track.

Decode each project into the skill it is testing. If you can name the underlying competency behind the project, you can prepare the right depth instead of memorizing buzzwords.

1. 1Optimize the raw data layer for TB-scale ingestion → bronze-layer storage layout, the small-file problem and compaction, partitioning and cost-per-TB tuning. Signals: do you understand lakehouse internals, not just the API?
2. 2Scale Dagster orchestration for growing technical teams → multi-tenant asset graphs, partitions and backfills, retries and sensors, self-serve onboarding for new users. Signals: can you make orchestration a product others use safely?
3. 3Expand agent data capabilities while maintaining security/privacy → ML/agent training-data pipelines with PIIPersonally Identifiable Information. Data that can identify a person (names, emails, SSNs); regulated and sensitive. Press Enter for the full definition. controls, masking, retention and audit. Signals: do you treat governance as a first-class requirement, not an afterthought?