The position offers a competitive salary in mainland China and a great working environment.
You don't have too much chance to dig deeper when you are in a team which focuses more on business.
A more patient manager would be helpful.
The nice interviewers asked many basic questions about big data technologies like Flink, Spark, Kafka, AWS, and GCP, and they will ask more specific detailed questions about your projects to check if you understand the tech stack deeply.
How can you optimise sql queries What's partitioning What's data skewness What's your experience with cloud services What's your experience with big data tools spark hadoop etc What's your ETL experience
1. The process included a team staff interview. 2. There was a team leader interview. 3. Candidates participated in a tech director interview. 4. A tech committee interview was conducted. 5. The GM interview took place. 6. An HR interview was re
The nice interviewers asked many basic questions about big data technologies like Flink, Spark, Kafka, AWS, and GCP, and they will ask more specific detailed questions about your projects to check if you understand the tech stack deeply.
How can you optimise sql queries What's partitioning What's data skewness What's your experience with cloud services What's your experience with big data tools spark hadoop etc What's your ETL experience
1. The process included a team staff interview. 2. There was a team leader interview. 3. Candidates participated in a tech director interview. 4. A tech committee interview was conducted. 5. The GM interview took place. 6. An HR interview was re