Good benefits and a good working environment.
Worst promotion policies and appraisal systems
Basics about our field. The second interview is deeper in technical. He explains the interview process at first and then starts questions, which makes me more comfortable and able to explain myself clearly.
Azure data engineer, Azure data lake, PySpark architecture, Hive bucketing and partitioning, broadcast join, Azure Synapse Analytics, Azure Databricks, Azure Data Factory. Previous projects: ETL pipeline, scenario-based questions for Azure Data Facto
The 1st round was an assessment round, with technical questions in MCQ format and two easy coding questions. The 2nd round was an interview round, lasting about 25-30 minutes. The questions asked were mainly from the resume, focusing on projects and
Basics about our field. The second interview is deeper in technical. He explains the interview process at first and then starts questions, which makes me more comfortable and able to explain myself clearly.
Azure data engineer, Azure data lake, PySpark architecture, Hive bucketing and partitioning, broadcast join, Azure Synapse Analytics, Azure Databricks, Azure Data Factory. Previous projects: ETL pipeline, scenario-based questions for Azure Data Facto
The 1st round was an assessment round, with technical questions in MCQ format and two easy coding questions. The 2nd round was an interview round, lasting about 25-30 minutes. The questions asked were mainly from the resume, focusing on projects and