It depends on individual experience.
If you're in a tight project running on sharp timelines, work-life balance will be difficult.
Virtual Interview at Office. Self-intro Basic data engineering questions. The interview was more like a theoretical exam. Experience wasn't assessed, but theoretical questions, such as those on data warehousing architecture and data modelling, we
Interview completed; they need to release the offer letter. However, for many days the status has not changed, and HR has not responded. I had to go with another offer. They wasted my time and efforts.
Screen round: via mobile. Round 1: Basics of PySpark, SQL, and about the project. Round 2: Behavioral round, but they will actually ask technical questions depending on the panel. Final HR.
Virtual Interview at Office. Self-intro Basic data engineering questions. The interview was more like a theoretical exam. Experience wasn't assessed, but theoretical questions, such as those on data warehousing architecture and data modelling, we
Interview completed; they need to release the offer letter. However, for many days the status has not changed, and HR has not responded. I had to go with another offer. They wasted my time and efforts.
Screen round: via mobile. Round 1: Basics of PySpark, SQL, and about the project. Round 2: Behavioral round, but they will actually ask technical questions depending on the panel. Final HR.