Real interview questions asked at Chryselys. Practice the most frequently asked questions and land your next role.
Chryselys data engineering interviews test your ability across multiple domains. These questions are sourced from real Chryselys interview experiences and sorted by frequency. Practice the ones that matter most. This set leans toward fundamentals — 9 easy, 5 medium, and 3 hard questions. Recurring themes are sql, join, and partition — these patterns appear most often in real interviews and reward the deepest preparation. Many of these questions also surface at Altimetrik and Fossil Group, so the preparation transfers across companies. Average answer is around 1 minute of reading — plan roughly 1 hour to work through the full set thoughtfully.
This collection contains 17 curated questions: 9 easy, 5 medium, and 3 hard. There's a strong foundation of fundamentals-focused questions — ideal for building confidence before tackling advanced topics.
The most frequently tested areas in this set are sql (5), join (4), partition (4), spark (4), snowflake (2), and etl (2). Focusing on these topics will give you the highest return on your preparation time.
Start with the easy questions to warm up and solidify fundamentals. Medium-difficulty questions form the bulk of real interviews — spend the most time here and practice explaining your reasoning out loud. Hard questions often appear in senior and staff-level rounds; attempt them after you're comfortable with the basics. For each question, try answering before revealing the solution. Use our AI Mock Interview to simulate real interview conditions and get instant feedback on your responses.
Tell me about yourself and your experience.
Explain the differences between a Data Lake and a Data Warehouse.
What is the difference between OLTP and OLAP?
What challenges did you face during these projects?
Describe an AWS EC2 instance and how IAM roles/policies enhance security.
Discuss S3's advantages, including scalability and durability.
Explain the recent projects you have worked on.
What is currying in Scala?
Write a Python function to reverse all strings in a list.
Write a higher-order function to filter values greater than a threshold in a list.
Analyze the output of various joins (LEFT, RIGHT, INNER, CROSS, FULL OUTER) on the given tables.
What is a Data Warehouse, and can you explain its Tier-1 and Tier-2 architecture?
Write a query to get the names of all employees who are managers with five or more direct reports.
Write code to find the third-highest salary in a dataset using Pandas.
Explain Hive, its purpose, and its default metadata storage.
What file format does Delta Lake use, and why is it beneficial?
Why does Hive use Derby by default, and what alternatives are used in production?
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