Situation-action-outcome (SAO) questions are a great way to understand a data engineer's experience and problem-solving abilities. Here are some examples of SAO questions to ask a data engineer:

Situation: What was a particularly complex data engineering project you worked on?
Action: What approach did you take to tackle the project?
Outcome: What was the end result and what did you learn from the experience?

Situation: How have you dealt with a situation where data quality was poor?
Action: What steps did you take to improve the quality of the data?
Outcome: What impact did your actions have on the project?

Situation: Can you describe a time when you had to troubleshoot a data pipeline that wasn't functioning properly?
Action: What troubleshooting techniques did you use to diagnose the issue?
Outcome: What did you do to resolve the problem and how did it impact the project?

Situation: Have you ever had to integrate multiple data sources into a single system?
Action: How did you approach the integration process?
Outcome: What were the benefits of integrating the data and what challenges did you face along the way?

Situation: Can you describe a time when you had to optimize a database or data storage solution?
Action: What steps did you take to improve the performance of the database/storage solution?
Outcome: What impact did your optimizations have on the system's performance?

By asking SAO questions, you can gain insight into a data engineer's experience and problem-solving abilities, as well as their approach to handling complex projects and challenges.
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