Tons of pros, but I'll list a few to keep it simple.
Decision-making is slow across the org, though things are changing.
None.
I had a couple of telephonic rounds initially, and then I was called onsite for six rounds back-to-back. The onsite interview was interesting; it was more of a whiteboard session and discussion than asking questions and expecting theoretical answers
The first round was SQL, followed by a second round with system design and then a LeetCode question. I solved both the system design and LeetCode questions. I communicated with the interviewers about my logic behind the code or data model I created.
Standard and logical. Just take it with an eagle eye. Review: * SQL questions * Stored procedures * Data models * Snowflake * Airflow code * Python data structures Kafka and Py-Spark questions may be asked if the current project involves Spark.
I had a couple of telephonic rounds initially, and then I was called onsite for six rounds back-to-back. The onsite interview was interesting; it was more of a whiteboard session and discussion than asking questions and expecting theoretical answers
The first round was SQL, followed by a second round with system design and then a LeetCode question. I solved both the system design and LeetCode questions. I communicated with the interviewers about my logic behind the code or data model I created.
Standard and logical. Just take it with an eagle eye. Review: * SQL questions * Stored procedures * Data models * Snowflake * Airflow code * Python data structures Kafka and Py-Spark questions may be asked if the current project involves Spark.