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Updated weekly · Last refresh Oct 17

DataZymes Data Engineer Interview Questions

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

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1
SQL & Data ManipulationStart here. 5 questions · ~73 min
Finding Duplicate RecordsEasy
Practice

Find duplicate customer emails using GROUP BY and HAVING in PostgreSQL.

Group ByHavingAggregationsDataZymes
Second Highest Without AggregatesHard
Practice

Find the second highest salary in each department without using aggregate functions.

SubqueriesRankingSelf-JoinsDataZymes
Optimizing Slow Queries at ScaleHard

Explain how to diagnose and optimize a slow PostgreSQL query on large Apidel Technologies datasets.

SubqueriesJoinsData WranglingDataZymes
Null Handling in JoinsMedium
Practice

Match records when join keys may be NULL, while retaining unmatched source rows.

null handlingJoinssql queryDataZymes
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2
Pipelines4 questions · ~58 min
Handle PySpark Data SkewMedium

Approach for detecting and mitigating skew in PySpark pipelines using partitioning, join strategies, and runtime monitoring.

Data Qualitypysparkdata skewnessDataZymes
Broadcast Joins in SparkHard

Explain how to implement a broadcast join, when it improves distributed ETL performance, and which memory and data-size risks to manage.

pysparkdistributed computingETL optimizationDataZymes
Load Cloud Data into DataFramesHard

Explain how to authenticate, read cloud storage files into a DataFrame, apply schema and quality checks, and handle failures.

data loadingdata pipelinepysparkDataZymes
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3
More topics1 question · ~15 min
Lazy Evaluation in PySparkMedium
Practice

Implement a generator-based pipeline that defers transformations until values are consumed.

pysparkCodingabstractionDataZymes
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