Best place to work with a friendly environment.
Depending on the project and client, sometimes we need to stretch.
Over all 4 rounds: * 3 technical rounds (basic Python and basic PySpark questions) * Theoretical questions on AWS and project discussion * Final round with director (previous project worked on) Questions on Python list and dictionary. PySpark
It was three interviews back-to-back. One with a partner where they asked overall questions about your career and what your goals are, a behavioral interview, and a technical interview.
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
Over all 4 rounds: * 3 technical rounds (basic Python and basic PySpark questions) * Theoretical questions on AWS and project discussion * Final round with director (previous project worked on) Questions on Python list and dictionary. PySpark
It was three interviews back-to-back. One with a partner where they asked overall questions about your career and what your goals are, a behavioral interview, and a technical interview.
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