Good learning experience and a lot of opportunities.
Hikes and promotions should be given timely.
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
They will ask from basic to advanced questions on data engineering roles and responsibilities. What kind of tools have you used in the process of data engineering? You should be very good in any of the cloud technologies.
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
They will ask from basic to advanced questions on data engineering roles and responsibilities. What kind of tools have you used in the process of data engineering? You should be very good in any of the cloud technologies.