Good salary, campus, and amazing benefits.
hectic work-life balance; will be required to work extra hours at times.
can hire more people to manage workloads
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