No pros. It is a typical work setup.
No work-life balance. No extra pay for additional hours worked. Forced to work on weekends.
Please start focusing on the lower level.
There were 2 rounds. The first was a coding round, and the second was about data warehouses, data modeling, SQLs, PySpark, Python, and object-oriented programming concepts. Then there was an HR round, which was basically asking about previous work
Asked me about ERD, streaming data, and managing big data. Questions on Spark, Kafka, and Flink were also touched upon. Asked to write some SQL queries, tune SQL, and database tables. Basic bash commands for file management and data processing.
Unless you are applying for a team lead or management-focused role, preparing for data engineering interviews with 3.5 or 4 years of experience is no different from preparing for data engineering interviews with, say, 2 years of experience or less.
There were 2 rounds. The first was a coding round, and the second was about data warehouses, data modeling, SQLs, PySpark, Python, and object-oriented programming concepts. Then there was an HR round, which was basically asking about previous work
Asked me about ERD, streaming data, and managing big data. Questions on Spark, Kafka, and Flink were also touched upon. Asked to write some SQL queries, tune SQL, and database tables. Basic bash commands for file management and data processing.
Unless you are applying for a team lead or management-focused role, preparing for data engineering interviews with 3.5 or 4 years of experience is no different from preparing for data engineering interviews with, say, 2 years of experience or less.