Job Description
Join a leading role as an Azure Data Engineer focusing on PySpark and Databricks. The position requires strong technical skills in Azure SQL and data processing services.
You will be responsible for navigating through Azure's offerings, specifically Data Factory and Azure SQL, while enhancing your capabilities in ETL/ELT methodologies. Your hands-on experience with Databricks will set the stage for addressing issues with data pipelines and ensuring high performance through effective monitoring strategies.
Key Responsibilities:
• Create and manage data processes using Databricks
• Execute ETL/ELT operations with Azure technologies
• Troubleshoot issues related to pipelines and clusters
• Monitor logs and performance using Azure tools
• Collaborate through Git and support CI/CD processes
Requirements:
• Expertise in Azure Data Factory and Databricks
• Knowledge of PySpark, Delta Lake, and Spark SQL
• Understanding of data ingestion and warehousing princip...
You will be responsible for navigating through Azure's offerings, specifically Data Factory and Azure SQL, while enhancing your capabilities in ETL/ELT methodologies. Your hands-on experience with Databricks will set the stage for addressing issues with data pipelines and ensuring high performance through effective monitoring strategies.
Key Responsibilities:
• Create and manage data processes using Databricks
• Execute ETL/ELT operations with Azure technologies
• Troubleshoot issues related to pipelines and clusters
• Monitor logs and performance using Azure tools
• Collaborate through Git and support CI/CD processes
Requirements:
• Expertise in Azure Data Factory and Databricks
• Knowledge of PySpark, Delta Lake, and Spark SQL
• Understanding of data ingestion and warehousing princip...
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