Extia Data Engineer Interview Questions
The questions to prepare for a Extia Data Engineer interview. Questions from real interview reports rank first. Updated weekly.
Approach for maintaining data quality and integrity across ETL pipelines.
Redesign a slow Databricks Spark ETL pipeline to cut runtime from 3 hours to under 60 minutes without breaking data quality or SLAs.
Approach for adding data quality checks, observability, and production monitoring to a data pipeline.
Approach for handling schema changes and data quality checks in a high-volume data lake pipeline.
Compare batch and streaming data processing, including when each fits best in a pipeline.
Approach for keeping data consistent during a legacy-to-new-platform migration, including validation, replay safety, and reconciliation.
Tests whether you can translate technical constraints into business terms, manage stakeholder expectations, and drive alignment on tradeoffs.
Tests your troubleshooting skills and performance tuning for Spark memory and execution behavior.
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