More work, more client exposure. That's it.
Less salary, more work, always.
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.
It was easy, with few technical questions and was majorly HR questions, as it was a fresher's interview round. It was about a 45-minute interview, mostly with behavioral questions and not technical questions.
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 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.
It was easy, with few technical questions and was majorly HR questions, as it was a fresher's interview round. It was about a 45-minute interview, mostly with behavioral questions and not technical questions.
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