Snowflake
Cloud data platform enabling data warehousing, data lakes, and data sharing.
4 Rounds
~21 Days
Hard
The Interview Loop
Recruiter Screen (30 min)
Standard fit check, behavioral questions, and resume overview.
Technical Loop (3-4 Rounds)
Deep dive into domain knowledge, coding, and system design.
Interview Question Bank
Data Engineer
•
Technical
•
medium
Given a table with a VARIANT column containing deeply nested JSON payloads from a web tracking system, write a Snowflake SQL query to flatten the JSON, extract the 'user_id' and 'event_type', and handle cases where the 'event_type' key might be missing or null.
#VARIANT data type
#FLATTEN function
#Semi-structured data
#JSON parsing
Data Engineer
•
Technical
•
hard
Write a SQL query to implement a Type 2 Slowly Changing Dimension (SCD2) update. You have a source staging table and a target dimension table. Use a MERGE statement to insert new records, close out old records (update end_date), and insert the updated active records.
#SCD Type 2
#MERGE statement
#Data Warehousing
#ETL
Data Engineer
•
Technical
•
medium
Given a table of 'employee_salaries' (emp_id, dept_id, salary), write a SQL query to find the top 3 highest paid employees in each department. Do not use subqueries in the SELECT clause.
#Window Functions
#DENSE_RANK
#CTEs
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The "Standard" Interviewer
Senior EngineerFocuses on core competencies, system constraints, and clear communication.
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Always explain your thought process before writing code or drawing architecture.