Very good work culture and support.
The allocation of projects can be improved.
Good technical questions and a nice experience. The discussion lasted 30 minutes, and all topics were covered from basic to expert level. Scenario-based questions were also asked, and coding examples were covered. Overall, it was a good interview.
The interview process typically includes: * An initial HR or recruiter screening to discuss background, role fit, availability, and expectations * One or two technical interview rounds focusing on SQL, data engineering concepts, ETL/ELT pipelines, cl
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.
Good technical questions and a nice experience. The discussion lasted 30 minutes, and all topics were covered from basic to expert level. Scenario-based questions were also asked, and coding examples were covered. Overall, it was a good interview.
The interview process typically includes: * An initial HR or recruiter screening to discuss background, role fit, availability, and expectations * One or two technical interview rounds focusing on SQL, data engineering concepts, ETL/ELT pipelines, cl
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.