goML Data Engineer Interview Questions
The questions to prepare for a goML Data Engineer interview. Questions from real interview reports rank first. Updated weekly.
Approach for handling late-arriving records in a batch ETL pipeline without breaking correctness or forcing full reloads.
goMLExplain how you identified and fixed a bottleneck in a data pipeline while preserving correctness and operational visibility.
goMLApproach for handling schema changes and data quality checks in a high-volume data lake pipeline.
goMLDesign a streaming pipeline that can absorb late-arriving events while keeping aggregates correct and downstream tables stable.
goMLCompare ETL and ELT, and explain when ELT is the better pipeline pattern.
goMLSet up pipeline monitoring and alerting that catches critical failures quickly while limiting noisy alerts.
goMLTests whether you can translate technical complexity into business-relevant language for non-technical stakeholders and drive action.
goMLEvaluates your ability to apply SQL effectively to real-time data scenarios and explain the underlying concepts.
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Compute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.
Meta
Spotify
Meta ITUse GROUP BY and aggregation to rank acquisition cohorts by total revenue from PNC customer activity.
PNC Financial Services GroupgoMLCompute daily agent call KPIs and SLA using joins, aggregations, and window ranking in a contact center model.
ADP