Azure Databricks Pyspark- 20 Aug (Thursday)-Virtual Interview

Required Skill Set: Data Lake architecture, Azure Services ADLS, ADF, Azure Databricks, Synapse

ADF, ADB, SQL, Pyspark, python

Good Knowledge of Data Brick lake house and Azure Data Lake concept • Knowledge of Data Bricks delta concept

Delta live tables (DLT) •

Strong hands-on experience in ELT pipeline development using Azure Data factory and Databricks Autoloader, Notebook scripting and Azure Synapse Activity Copy, Data Flow Task •

Strong knowledge of metadata-driven data pipeline, metadata management, dynamic logic •

In-depth knowledge of data storage solutions, including Azure Data Lake Storage (ADLS), and Azure Serverless SQL Pool. •

Experience with data transformation using Spark, and SQL technologies. • Solid understanding of design patterns, and best practices of the cloud stack. •

Experience with code management and version control using Git or similar tools. •

Strong problem-solving and debugging skills in ETL workflows and data pipelines. •

Strong understanding of Azure Data bricks and Azure Synapse internals features and capabilities. •

Knowledge of Azure DevOps and continuous integration and deployment (CI/CD) process. •

Knowledge of data quality and data profiling techniques, with experience in data validation and data cleansing.