I met talented engineers with lots of learning opportunities from them. The tech leads were willing to offer individual chances to explore various projects beyond their main job scope, such as data analytics, data streaming, software development, DataOps, and product management, if you did well.
Frequent OT. The company is huge, time can be wasted because of hidden bugs, no straightforward logs, poor code/UI design, and vague requirements.
Poor documentation makes it difficult for starters to pick up the company's workflow, internal tools, or code design.
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.
4 rounds in total. 2 rounds of tech interview, including report manager, and then HRBP, and lastly with the general manager. HR will approach you first. The overall procedure is smooth and fast
Phone call with HR, then technical interview with a senior data engineer. Also will have interview with the department leader. Final interview with the whole group leader. And HR discuss salary
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.
4 rounds in total. 2 rounds of tech interview, including report manager, and then HRBP, and lastly with the general manager. HR will approach you first. The overall procedure is smooth and fast
Phone call with HR, then technical interview with a senior data engineer. Also will have interview with the department leader. Final interview with the whole group leader. And HR discuss salary