ThoughtWorks Data Engineer Interview Questions
The questions to prepare for a ThoughtWorks Data Engineer interview. Questions from real interview reports rank first. Updated daily.
Approach for detecting and mitigating skew in PySpark pipelines using partitioning, join strategies, and runtime monitoring.
Compare batch and streaming data processing, including when each fits best in a pipeline.
Approach for maintaining data quality and integrity across ETL pipelines.
Assesses your understanding of stream processing and execution model differences between Flink and Spark.
Assesses your practical Spark experience relevant to building data processing pipelines.
Evaluates your depth of understanding of Spark internals and query optimization.
Tests respectful disagreement, influence without authority, and ownership when challenging a technical decision.
Tests your ability to implement PySpark solutions while applying TDD principles under time pressure.
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