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Updated weekly · Last refresh Oct 17

Rhombus Power Data Engineer Interview Questions

The questions to prepare for a Rhombus Power Data Engineer interview. Questions from real interview reports rank first. Updated daily.

24questions
~4htotal time
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1
PipelinesStart here. 4 questions · ~36 min
Data Quality and Schema EvolutionMedium

Approach for handling schema changes and data quality checks in a high-volume data lake pipeline.

schema evolutionData ModelingQualityRhombus Power
API Design and End-to-End ETLHard

Evaluates end-to-end pipeline design and API thinking for production data workflows.

api designRhombus Power
End-to-End ETL PipelineMedium

Tests your ETL design, orchestration, and monitoring practices for production data pipelines.

monitoringETLOrchestrationRhombus Power
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2
SQL & Data Manipulation7 questions + 1 drill · ~74 min
SQL and Pandas Technical InterviewMedium

Assesses practical SQL and Pandas proficiency for real data transformations.

pandassqlRhombus Power
OLAP vs OLTP and SQL BasicsMedium

Assesses SQL fundamentals and analytical versus transactional data modeling tradeoffs.

Machine LearningsqlRhombus Power
Trading Signal With Time SeriesMedium

Tests time-series reasoning and practical SQL and Pandas analysis skills.

pandassqlRhombus Power
DoorDash Schema SQL and PythonMedium
Practice
Practice drill

Calculate completed Q1 delivery counts and average delivery times for Seattle restaurants using DoorDash order data.

Date FunctionsJoinssqlDoorDash
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3
Coding5 questions · ~45 min
Scraping Data From AmazonMedium

Tests ability to implement web scraping and prepare data for downstream ingestion.

pythonRhombus Power
Pandas Merge vs Join vs ConcatMedium

Tests your understanding of Pandas data combination operations and join semantics.

pandasJoinsData WranglingRhombus Power
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4
Behavioral & Leadership8 questions · ~73 min
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The finish line: interview-readyComplete all 24 questions plus 1 hands-on drill to finish this plan.