Extia Data Engineer Interview Questions
The questions to prepare for a Extia Data Engineer interview. Questions from real interview reports rank first. Updated daily.
Approach for keeping data consistent during a legacy-to-new-platform migration, including validation, replay safety, and reconciliation.
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.
Compare batch and streaming data processing, including when each fits best in a pipeline.
Approach for handling schema changes and data quality checks in a high-volume data lake pipeline.
Approach for maintaining data quality and integrity across ETL pipelines.
Tests motivation for consulting work, customer orientation, product learning agility, and alignment with a customer-facing implementation role.
Tests your troubleshooting skills and performance tuning for Spark memory and execution behavior.
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