Good sprint management, good working hours.
Hard to switch teams. Bad compensation.
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
Straightforward interview process: HR, then technical assessments. HR will give you a brief on what the job is like, the perks, and your salary expectations. The technical assessment involved a coding test and, afterwards, speaking to one of the sen
Total 3 rounds of interviews: 2 technical rounds and 1 HR round. 1. Technical Round - Easy: Basic SQL, PySpark. 2. Technical Round - Medium: PySpark medium, SQL medium. 3. HR Round - Easy.
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
Straightforward interview process: HR, then technical assessments. HR will give you a brief on what the job is like, the perks, and your salary expectations. The technical assessment involved a coding test and, afterwards, speaking to one of the sen
Total 3 rounds of interviews: 2 technical rounds and 1 HR round. 1. Technical Round - Easy: Basic SQL, PySpark. 2. Technical Round - Medium: PySpark medium, SQL medium. 3. HR Round - Easy.