Good work culture in the project.
No better hike in the last 2 years.
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
2-level interview. Technical and process oriented. It also focuses on data-related activities. Data warehousing and related topics were discussed. Focus on team handling and project management. Current role-based topics were focused.
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
2-level interview. Technical and process oriented. It also focuses on data-related activities. Data warehousing and related topics were discussed. Focus on team handling and project management. Current role-based topics were focused.
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.