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Top 12
Prep plan
Updated weekly · Last refresh Oct 27
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Merkle Data Engineer Interview Questions

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

12questions
~2htotal time
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1
Technical FundamentalsStart here. 4 questions · ~32 min
AWS Serverless ExperienceMedium
Recently asked

Assesses hands-on experience with serverless data solutions on AWS.

awsMMerkle
Do You Do Any BoostingMedium
Recently asked

Evaluates knowledge of model boosting techniques or related data science practices.

Machine LearningMMerkle
Using Python Libraries for Data ProcessingMedium
Recently asked

Evaluates familiarity with Python data tooling and practical usage.

data processingpythonMMerkle
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2
Pipelines4 questions · ~32 min
Spark and Redshift Performance TuningHard
Recently asked

Evaluates optimization strategies for big data processing engines and warehouses.

performance optimizationsparkMMerkle
Designing Data Pipelines for Large DatasetsHard
Recently asked

Assesses architectural and design considerations for scalable data pipelines.

data pipelineMMerkle
Batch vs Stream ProcessingMedium
Recently asked

Evaluates understanding of processing paradigms and trade-offs.

Stream Processingdata pipelinesBatch ProcessingMMerkle
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3
Behavioral & Leadership3 questions · ~24 min
Managing Ambiguous RequirementsMedium
Recently asked

Tests adaptability, requirements elicitation, and risk management.

adaptabilityProject ManagementMMerkle
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4
More topics1 question · ~8 min
Where vs Having SQLMedium
Recently asked

Assesses SQL query reasoning for filtering rows versus filtering grouped results.

queriessqlMMerkle
Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Data Engineering Concepts and In-Depth SQL/PythonEasy
Practice
Practice drill

Summarize SQL concepts by interview round, including rounds without SQL topics and average planned depth.

JoinsData Manipulationdata engineeringEXL Service
SQL for Running AverageMedium
Practice
Practice drill

Calculate five-day rolling service averages using daily aggregation, a calendar join, and PostgreSQL window functions.

queriessqlExlEXL ServicevvConstruct
SQL: Highest Marks Per DepartmentEasy
Practice
Practice drill

Use RANK and a department join to find every student tied for the highest marks in each department.

aggregationqueriessqlPractoMphasisAAppian
The finish line: interview-readyComplete all 12 questions plus 3 hands-on drills to finish this plan.