Depends on projects. In mine, it has more learning opportunities as well as freedom to do it from scratch, data pipelines and all. Working life balance.
I didn't see any cons in this. The only thing is they are calling everyone to the office.
The first round was a coding round on a platform. Later, I had a technical round mainly focusing on SQL questions and Spark (pyspark) questions, followed by a managerial round.
The interview was easy to moderate level. You must have a good understanding of data engineering-related concepts, including big data technologies like PySpark, languages like Python and SQL, and cloud technologies like AWS would be good to have.
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
The first round was a coding round on a platform. Later, I had a technical round mainly focusing on SQL questions and Spark (pyspark) questions, followed by a managerial round.
The interview was easy to moderate level. You must have a good understanding of data engineering-related concepts, including big data technologies like PySpark, languages like Python and SQL, and cloud technologies like AWS would be good to have.
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