Good work-life balance.
Way too few increments as compared.
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
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
Focused on SQL and Python. Don't really need to study Java or C. Revise machine learning algorithms and SQL basics. Interviewer checked resume for only 30 seconds. GPA does not really matter. Decision probably made after questions.
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
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
Focused on SQL and Python. Don't really need to study Java or C. Revise machine learning algorithms and SQL basics. Interviewer checked resume for only 30 seconds. GPA does not really matter. Decision probably made after questions.