Interview questions
Preparing for a data engineering interview at Nagarro? This page contains 10 real interview questions sourced from verified Nagarro interview experiences. Questions are sorted by frequency — the ones asked most often appear first.
Nagarro data engineering interviews typically focus on Spark/Big Data, System Design/Architecture, and SQL. The interview bar skews toward harder problems (6 hard vs. 1 easy), suggesting emphasis on depth and system-level thinking.
Use the difficulty filters above to focus your preparation. For each question, attempt your own answer first, then compare with our expert solution. You can also practice these questions in our AI Mock Interview Coach for real-time feedback.
Tell me about yourself and your experience.
What is the difference between groupByKey and reduceByKey in Spark?
What is the difference between narrow and wide transformations in Apache Spark? Explain with examples.
What architecture are you following in your current project, and why?
Cloud Architecture - explain
Converting SCD0 to SCD3
How to Upsert Your Data Daily Using Spark
What is Predicate Pushdown and AQE with Example
What is Shuffle and How to Handle It in Spark
Data Volume in Pipelines and Scalability Solutions
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