Data Engineer

Skill: ETL and Data Processing

1. Can you describe a complex ETL process you've implemented and any challenges you faced?
2. How do you approach designing and implementing data pipelines?
3. How do you ensure data quality and integrity during ETL processes?
4. How do you optimize ETL processes for better performance?
5. Can you explain your experience with real-time or near real-time ETL?

Skill: Programming and Scripting

1. Can you describe a complex data processing task you've accomplished using Python?
2. How do you optimize Python code for better performance in data processing tasks?
3. Can you explain your experience with Spark and RDDs using Python or Scala?
4. How do you handle memory management in Python when dealing with large datasets?
5. What's your approach to writing reusable and maintainable code?

Skill: Database Management and SQL

1. Can you explain your approach to database performance tuning?
2. How do you approach database modeling?
3. Can you explain your experience with query optimization techniques?
4. How do you handle concurrent transactions in databases?
5. Can you describe your experience with indexing and its impact on query performance?

Skill: Big Data Technologies

1. How do you approach data processing in a distributed environment?
2. Can you describe your experience with stream processing in Big Data?
3. What strategies do you use for optimizing Big Data queries?
4. How do you handle data skew in Big Data processing?
5. Can you explain your experience with data governance in Big Data projects?

Skill: Software Development Lifecycle and Agile Methodologies

1. How do you handle changing priorities in an Agile environment?
2. Can you describe your experience with continuous integration and deployment?
3. How do you ensure code quality throughout the development lifecycle?
4. What's your approach to refactoring and improving existing code?
5. How do you handle technical debt in your projects?

Additional Notes

1. Assess the candidate's ability to work independently and collaborate with cross-functional teams.
2. Evaluate the candidate's problem-solving skills and analytical thinking.
3. Gauge the candidate's enthusiasm for learning and growing within the organization.
4. Assess the candidate's ability to handle multiple concurrent projects and changing priorities.
5. Evaluate the candidate's understanding of long-term strategy and application stability.