Benefits and work-from-home opportunities
No cons as such seen.
Basic fundamentals questions on all the concepts of data engineering. SQL, Python, Azure, and Databricks, among others. Total 3 rounds: * 1 was a coding round. * 2 was a technical round. * 3rd was a behavioral round by a director or senior ma
Quality Interview. First round of interview was based out of an AI dialog chatbot. It was very well organized and the UI was user-friendly. The second round of interview was a personal interview. It was on Microsoft Teams.
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
Basic fundamentals questions on all the concepts of data engineering. SQL, Python, Azure, and Databricks, among others. Total 3 rounds: * 1 was a coding round. * 2 was a technical round. * 3rd was a behavioral round by a director or senior ma
Quality Interview. First round of interview was based out of an AI dialog chatbot. It was very well organized and the UI was user-friendly. The second round of interview was a personal interview. It was on Microsoft Teams.
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