Spark/Big Data·8 min read·
TCS Data Engineer Interview Questions & Answers (2026)
Practice the 44 most asked data engineering questions at TCS. Covers Spark/Big Data, Behavioral, Cloud/Tools and more.
Why TCS Tests These Questions
TCS is known for rigorous data engineering interviews that focus on practical, production-level knowledge. With 44 questions in our vault, the most common category is Spark/Big Data (19 questions).
Difficulty breakdown: 21 easy, 9 medium, 14 hard. Expect system design and optimization questions at senior levels.
Top 5 Most Asked Questions at TCS
- **Q1**: Design a fault-tolerant Spark Streaming checkpoint strategy: what to persist, recovery semantics, and cost/scalability trade-offs with checkpoint frequency.
- **Q2**: How do you handle version conflicts for libraries?
- **Q3**: How is Azure Key Vault used to manage encryption keys in Databricks?
- **Q4**: What are the differences between %run and dbutils.notebook.run?
- **Q5**: Can you describe the role of user groups in setting up these policies?
Category Breakdown for TCS Interviews
- **Spark/Big Data**: 19 questions
- **General/Other**: 12 questions
- **SQL**: 7 questions
- **Python/Coding**: 3 questions
- **Cloud/Tools**: 2 questions
- **Behavioral**: 1 questions
How to Prepare
Focus on Spark/Big Data questions first, as they dominate TCS'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
hardDesign a fault-tolerant Spark Streaming checkpoint strategy: what to persist, recovery semantics, and cost/scalability trade-offs with checkpoint frequency.→easyHow do you handle version conflicts for libraries?→easyHow is Azure Key Vault used to manage encryption keys in Databricks?→easyWhat are the differences between %run and dbutils.notebook.run?→easyCan you describe the role of user groups in setting up these policies?→
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