Accenture Data Engineer Interview Questions & Answers (2026)
Practice the 33 most asked data engineering questions at Accenture. Covers SQL, Spark/Big Data, Behavioral and more.
Key Takeaways
- ✓Why Accenture Tests These Questions
- ✓Top 5 Most Asked Questions at Accenture
- ✓Category Breakdown for Accenture Interviews
- ✓How to Prepare
Why Accenture Tests These Questions
Accenture is known for rigorous data engineering interviews that focus on practical, production-level knowledge. With 33 questions in our vault, the most common category is SQL (12 questions).
Difficulty breakdown: 9 easy, 15 medium, 9 hard. Expect system design and optimization questions at senior levels.
Top 5 Most Asked Questions at Accenture
- Q1: Write an SQL query to find the second-highest salary from an employee table.
- Q2: What is the difference between cache() and persist() in Spark? When would you use each?
- Q3: What is the difference between groupByKey and reduceByKey in Spark?
- Q4: Discuss differences between ROW_NUMBER(), RANK(), and DENSE_RANK(), and provide examples from your projects.
- Q5: Briefly introduce yourself and walk us through your journey as a Data Engineer so far.
Category Breakdown for Accenture Interviews
- SQL: 12 questions
- Spark/Big Data: 8 questions
- Behavioral: 8 questions
- Cloud/Tools: 4 questions
- Python/Coding: 1 questions
How to Prepare
Focus on SQL questions first, as they dominate Accenture's interview pattern. Practice the top-frequency questions below, then move to adjacent categories. For senior roles, expect 1-2 system design rounds.
Reviewed by Aditya Kumar · DataEngPrep Editorial Team
Drafted by the editorial team and signed off by Aditya Kumar, founder and lead editor at DataEngPrep. Questions are sourced from real interviews, initial answers are drafted with AI assistance, and every section is human-edited for technical accuracy, relevance to current FAANG hiring rubrics, and clarity. Articles are reviewed periodically as interview patterns evolve.
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