Company and Business Context Questions
Demonstrating knowledge of the broader company and industry context in which the role operates, including business model, market dynamics, competitive position, strategic priorities, financial implications, regulatory or operational constraints, and common project management or product development philosophies at major technology companies. This includes awareness of how the role contributes to business outcomes and the methodologies the company commonly uses to plan and measure work.
HardSystem Design
0 practiced
Regulators request field-level lineage for any metric reported publicly. For a large warehouse with many ETL jobs, propose a design to capture column-level lineage: how to instrument SQL/ETL transformations, store lineage metadata, provide queryable APIs for auditors, and discuss implications for storage and query performance.
EasyTechnical
0 practiced
Explain the difference between a data warehouse and a data lake in business terms. For a retail company choosing between them (or a lakehouse), describe what business questions each supports better, and what trade-offs a Data Engineer should communicate to leadership about cost, time-to-insight, and governance.
MediumSystem Design
0 practiced
Marketing requests a daily incremental pipeline that enriches user profiles with purchased third-party attributes for targeted campaigns. Outline the ingestion, identity resolution (matching), deduplication, privacy checks, quality validation, operational SLAs, and the business metrics you'd deliver to measure marketing lift.
EasyTechnical
0 practiced
In a subscription business, why is measuring customer churn important to executive decision-making? As a Data Engineer, describe the pipeline components, cohort definitions, data freshness, validation, and monitoring you would implement to deliver accurate churn metrics and alert on surprising trends.
MediumTechnical
0 practiced
Explain the concept of a 'data product'. As a Data Engineer, how should you design and operate a data product (for example, a cleaned customer table) with respect to SLAs, usability, documentation, ownership, and adoption metrics?
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