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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
A very harsh process. Too difficult to get in without reference. Experienced candidates also faced the same difficulty. Even so, after a while, the role got redundant. So, be very careful when resigning from your existing job. When you get an offer,
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
A very harsh process. Too difficult to get in without reference. Experienced candidates also faced the same difficulty. Even so, after a while, the role got redundant. So, be very careful when resigning from your existing job. When you get an offer,
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