Infosys Data Engineer Interview Questions & Answers (2026)

Infosys is known for rigorous data engineering interviews that focus on practical, production-level knowledge. With 39 questions in our vault, the most common category is Spark/Big Data (19 questions). Difficulty breakdown: 17 easy, 14 medium, 8 hard. Expect system design and optimization questions at senior levels.

- **Q1**: What is the difference between SparkSession and SparkContext in Spark? - **Q2**: What are traits in Scala, and how are they different from classes? - **Q3**: How do you handle data security and compliance in a cloud environment? - **Q4**: How would you read data from a web API? What steps would you follow after reading the data? - **Q5**: Architecturally, how would you justify or challenge Hadoop vs. a cloud-native data lake (S3 + EMR/Databricks) for a greenfield enterprise data platform? Discuss scalability ceilings, cost model trade-offs, and operational complexity.

- **Spark/Big Data**: 19 questions - **Python/Coding**: 12 questions - **General/Other**: 2 questions - **System Design/Architecture**: 2 questions - **SQL**: 2 questions - **Cloud/Tools**: 1 questions - **Behavioral**: 1 questions

Focus on Spark/Big Data questions first, as they dominate Infosys's interview pattern. Practice the top-frequency questions below, then move to adjacent categories. For senior roles, expect 1-2 system design rounds.