Plaid Data Engineer Interview Questions
The questions to prepare for a Plaid Data Engineer interview. Questions from real interview reports rank first. Updated weekly.
Approach for handling schema changes and data quality checks in a high-volume data lake pipeline.
PlaidDesign a monitoring and alerting approach for a mission critical pipeline, covering system health, data quality, and operational response.
PlaidApproach for handling late-arriving records in a batch ETL pipeline without breaking correctness or forcing full reloads.
PlaidDesign a Databricks Lakehouse pipeline and justify when to use Spark RDDs, DataFrames, or Datasets for scalable ETL and streaming.
PlaidCompare star and snowflake schemas for warehouse design, including trade-offs in normalization, query simplicity, and analytics performance.
PlaidTests query optimization skills for window functions on large distributed datasets.
PlaidTests ability to write performant SQL for deduplication over large time windows.
PlaidCalculate each Plaid user’s rolling 7-day average transaction count with date-aware window functions.
PlaidCalculate the monthly spending trends for customers using window functions and joins.
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World Wide TechnologyRank the top 3 completed rides per vehicle per day using joins, a CTE, and ROW_NUMBER.
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Tests conflict resolution and influence in a data engineering context, especially around pipeline trade-offs, ownership, and decision quality.
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