Spark/Big Data·8 min read·
Altimetrik Data Engineer Interview Questions & Answers (2026)
Practice the 40 most asked data engineering questions at Altimetrik. Covers Behavioral, Spark/Big Data, Python/Coding and more.
Why Altimetrik Tests These Questions
Altimetrik is known for rigorous data engineering interviews that focus on practical, production-level knowledge. With 40 questions in our vault, the most common category is Spark/Big Data (17 questions).
Difficulty breakdown: 20 easy, 12 medium, 8 hard. Expect system design and optimization questions at senior levels.
Top 5 Most Asked Questions at Altimetrik
- **Q1**: Tell me about yourself and your experience.
- **Q2**: What is the difference between SparkSession and SparkContext in Spark?
- **Q3**: What are traits in Scala, and how are they different from classes?
- **Q4**: What are Airflow Operators? Give examples.
- **Q5**: How would you read data from a web API? What steps would you follow after reading the data?
Category Breakdown for Altimetrik Interviews
- **Spark/Big Data**: 17 questions
- **Python/Coding**: 12 questions
- **General/Other**: 5 questions
- **SQL**: 4 questions
- **Behavioral**: 1 questions
- **Cloud/Tools**: 1 questions
How to Prepare
Focus on Spark/Big Data questions first, as they dominate Altimetrik'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
hardTell me about yourself and your experience.→hardWhat is the difference between SparkSession and SparkContext in Spark?→easyWhat are traits in Scala, and how are they different from classes?→easyWhat are Airflow Operators? Give examples.→mediumHow would you read data from a web API? What steps would you follow after reading the data?→
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