Databricks Data Engineer Interview Questions
The questions to prepare for a Databricks Data Engineer interview. Questions from real interview reports rank first. Updated weekly.
Implement deterministic validation for a Spark-style transformation by normalizing and comparing unordered row collections.
DatabricksExplain how binary search works on a sorted array and why its time complexity is O(log n).
DatabricksEvaluates algorithmic thinking and foundational understanding of DBMS concepts.
DatabricksApproach for detecting and mitigating skew in PySpark pipelines using partitioning, join strategies, and runtime monitoring.
DatabricksDesign a Databricks Delta pipeline that detects and mitigates Spark data skew in large joins and aggregations while meeting a 20-minute hourly SLA.
DatabricksDesign a Databricks Spark backfill for 6 months of Delta data with idempotent reprocessing, isolation from production, and strong data quality controls.
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Assesses your approach to structuring transformations for reliable, query-ready data products.
DatabricksTests advanced SQL skills for scalable analytics using window functions.
DatabricksCompute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.
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Spotify
Meta ITRank the three most active Databricks users per day with aggregated counts and RANK to preserve ties.
DatabricksCount recurring high-confidence ticket themes in April using joins, filtering, and grouped aggregation.
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