PySpark Interview Questions: Complete Guide (2026)
Master 179 python/coding questions with expert answers. Real questions from 97+ companies.
Key Takeaways
- ✓Overview
- ✓What Interviewers Look For
- ✓Top Questions to Practice
- ✓Preparation Strategy
Overview
This guide covers 179 questions from our vault of 1,863 data engineering interview questions. These questions are sourced from real interviews at companies like Delivery Hero, Matrix, LTIMindtree, Infosys, TCS.
What Interviewers Look For
At senior levels, interviewers evaluate not just correctness but architectural thinking, trade-off analysis, and production awareness. The best answers demonstrate understanding of scalability, fault tolerance, and cost optimization.
Top Questions to Practice
- What are traits in Scala, and how are they different from classes?
- Write a Python function to check if a string is a palindrome.
- What is the difference between a list and a tuple in Python?
- Explain the difference between shallow copy and deep copy in Python.
- Write a Python function to find the first non-repeating character in a string.
- What are decorators in Python, and how do they work?
- Explain the difference between args and kwargs in Python.
- Write a Python function to find the first non-repeating character in a string.
Preparation Strategy
Start with high-frequency questions and work your way down. For each question, practice explaining your answer out loud as if in an interview. Focus on the 'why' behind each decision, not just the 'what'.
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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