Interview questions
Preparing for a data engineering interview at Chryselys? This page contains 17 real interview questions sourced from verified Chryselys interview experiences. Questions are sorted by frequency — the ones asked most often appear first.
Chryselys data engineering interviews typically focus on SQL, Spark/Big Data, and Behavioral. There's a solid mix of fundamental and advanced questions, making it accessible for candidates at multiple experience levels.
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.
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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