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Updated weekly · Last refresh Oct 17

Iris software Data Engineer Interview Questions

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

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1
CodingStart here. 3 questions · ~28 min
Window Functions in PySparkMedium

Assesses your ability to implement window-based transformations in PySpark for large-scale data.

Window FunctionspysparkIris software
Coding in Hive, Spark, ScalaMedium

Assesses practical coding experience across common big data tools used in enterprise data pipelines.

sqlsparkIris software
Finding Duplicates Without LibrariesHard
Practice

Find each repeated integer once using a manually implemented hash table without set, dict, or library helpers.

deduplicationArraysData StructuresIris software
2
SQL & Data Manipulation3 questions + 3 drills · ~58 min
Broadcast vs Shuffle Joins in SparkMedium

Tests Spark join strategy knowledge and performance tradeoffs.

JoinsperformancesparkIris software
Spark and SQL FundamentalsMedium

Evaluates your command of Spark and SQL for data manipulation and scalable processing.

sqlsparkIris software
Optimizing Slow SQL QueriesMedium

Tests query optimization skills and understanding of execution behavior for join-heavy SQL.

Joinsquery optimizationsqlIris software
SQL Query for Second HighestEasy
Practice
Practice drill

Find Iris software's second-highest distinct employee salary using DISTINCT, filtering, and descending order.

sqlIris softwareRelativityWipro
SQL Query for High Sales EmployeesEasy
Practice
Practice drill

Use a CTE, JOIN, SUM, and HAVING to find Iris employees with completed sales above £1 million.

sqlIris software
Top Customers SQL QueryEasy
Practice
Practice drill

Aggregate customer sales volume and return Pyramid Consulting's top 10 customers in descending order.

RankingGroup ByAggregationsPyramid ConsultingBNYCambia Health Solutions

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3
Pipelines5 questions · ~46 min
Partitioning in SparkMedium

Tests understanding of partitioning, parallelism, and performance implications in Spark.

performancesparkpartitioningIris software
Handling Nulls and Corrupt RecordsMedium

Tests data quality handling, resilience, and operational thinking in production pipelines.

Data Qualitynull handlingIris software
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4
Behavioral & Leadership3 questions · ~28 min
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The finish line: interview-readyComplete all 14 questions plus 3 hands-on drills to finish this plan.