Interview questions
Preparing for a data engineering interview at Fossil Group? This page contains 22 real interview questions sourced from verified Fossil Group interview experiences. Questions are sorted by frequency — the ones asked most often appear first.
Fossil Group data engineering interviews typically focus on SQL, Behavioral, and General/Other. 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.
Tell me about your family background
Where do you see yourself in your career five years from now?
What are Airflow Operators? Give examples.
Discuss differences between ROW_NUMBER(), RANK(), and DENSE_RANK(), and provide examples from your projects.
Describe a time when you had to optimize a slow SQL query. What steps did you take?
What is a CTE (Common Table Expression)? What are its uses?
Why are you leaving your current job so early?
Share a challenging situation faced in projects.
Would you accept an onsite opportunity in a foreign country?
Can CASE statements be used in an UPDATE query?
Did you review the job description? Why are you interested in this role?
Explain the order in which SQL clauses are executed.
How do you create a new table with the same structure as an existing one?
How do you find duplicates in a table based on one or two columns?
Two tables: Table 1 has 8 records, Table 2 has 2 records, common column id. How many records would result with Inner Join, Left Join, Right Join, Full Outer Join?
What if another company offers a better salary—would you stay or leave?
Why is HAVING clause used only after GROUP BY?
Write a query to retain only the latest record and delete others in case of duplicates.
Write a query to select the latest record based on a time_of_insertion column.
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