1. what is data skew
2. what happen when worker nodes died
3. how you configure spark for 1tb of data
4. what is best for ETL EMR or GLUE
5. which cluster manager you use and why
6. on which business problem you have worked
7. what type of request you get from bi and data scientist team
8. in your database what type of records or column you have
9. how agile methodology work in your organization
10. where you used stored procedure views triggers
11. how much time is generally required for a job of having 1 gb of data
12. how many jobs you are currently maintaining
13. cluster mode client mode
14. what optimization techniques you are using
15. what errors you faced in glue job
16. what is DAG
17. have you faced out of memory issue and how you maintainer
18. on daily bases how many jobs you create or handle labrary
19. in month how much of data you Handel ( counter question on i stated we extract data 2 times a week from RDS MYSqL SERVER)
20. what libraries you use in AWS glue and how you install external labraris if we needed
21. in how your team works and what is key role
22. what transformation on data you had done
23. for every job did you personally create scripts and how you test it
24. on single dataset how much time you spend on general and what is the average size of dataset
25. how you monitor job execution ,worker nodes in glue
26. IAM policy.