Cloud/Tools·14 min read·
Capco Data Engineer Interview Questions & Answers (2026)
Practice the 72 most asked data engineering questions at Capco. Covers Spark/Big Data, SQL, Python/Coding and more.
Why Capco Tests These Questions
Capco is known for rigorous data engineering interviews that focus on practical, production-level knowledge. With 72 questions in our vault, the most common category is Cloud/Tools (23 questions).
Difficulty breakdown: 32 easy, 21 medium, 19 hard. Expect system design and optimization questions at senior levels.
Top 5 Most Asked Questions at Capco
- **Q1**: What is the difference between groupByKey and reduceByKey in Spark?
- **Q2**: Demonstrate the difference between DENSE_RANK() and RANK()
- **Q3**: Write a Python function to check if a string is a palindrome.
- **Q4**: Implement a Spark job to find the top 10 most frequent words in a large text file.
- **Q5**: Describe a real-world use case for using Step Functions with Lambda in a data workflow.
Category Breakdown for Capco Interviews
- **Cloud/Tools**: 23 questions
- **SQL**: 15 questions
- **General/Other**: 14 questions
- **Spark/Big Data**: 13 questions
- **System Design/Architecture**: 4 questions
- **Python/Coding**: 3 questions
How to Prepare
Focus on Cloud/Tools questions first, as they dominate Capco's interview pattern. Practice the top-frequency questions below, then move to adjacent categories. For senior roles, expect 1-2 system design rounds.
Practice These Questions
mediumWhat is the difference between groupByKey and reduceByKey in Spark?→mediumDemonstrate the difference between DENSE_RANK() and RANK()→mediumWrite a Python function to check if a string is a palindrome.→hardImplement a Spark job to find the top 10 most frequent words in a large text file.→easyDescribe a real-world use case for using Step Functions with Lambda in a data workflow.→
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