Top 13
Prep plan
Updated weekly · Last refresh Aug 30

Abbott Data Engineer Interview Questions

The questions to prepare for a Abbott Data Engineer interview. Questions from real interview reports rank first. Updated weekly.

13questions
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1
PipelinesStart here. 8 questions · ~65 min
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityAbbott
Scalable Databricks Data ModelsHard

Tests your skills in scalable modeling and distributed job optimization in Databricks and Spark.

InfrastructureData ModelingQualityAbbott
AWS Pipeline for Glucose LogsHard

Tests your ability to design scalable AWS ingestion and processing for high-volume unstructured device logs at Abbott.

InfrastructureStream ProcessingETLAbbott
IaC for Deployment and GovernanceMedium

Tests your understanding of IaC benefits for reproducible deployments and governance controls.

InfrastructureOrchestrationQualityAbbott
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2
Coding4 questions · ~33 min
PySpark Join with Data SkewHard

Tests your PySpark proficiency and ability to mitigate skew for performant joins.

Hash TablesArraysSortingAbbott
Refactor for Execution SpeedMedium

Tests your ability to improve performance through refactoring and engineering tradeoffs.

Hash TablesArraysSortingAbbott
Improving Databricks CodeMedium

Assesses your ability to optimize Databricks code and continue development effectively.

databricksAbbott
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3
More topics1 question · ~8 min
Transform Nested JSON to SQLMedium

Tests your data modeling and transformation skills for nested JSON to relational schemas.

JoinsData WranglingCTEsAbbott
Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
The finish line: interview-readyComplete all 13 questions plus 3 hands-on drills to finish this plan.