Found Description
Advance your career as a Senior Azure Databricks Engineer, specializing in scalable data pipelines on Azure. Your expertise will be pivotal in crafting advanced analytics solutions for impactful data management.
In this role, we seek an experienced Azure Databricks Engineer with over 10 years in data engineering. You will utilize your proficiency in Azure Data Factory and big data processing to design and optimize data pipelines, ensuring high data quality and performance. Collaborating closely with data scientists and analysts is essential to deliver innovative data solutions.
Key Responsibilities:
• Design scalable data pipelines using Azure Data Factory
• Develop workflows with Azure Databricks (PySpark/Scala)
• Implement ETL/ELT processes for large datasets
• Integrate data from various sources, including APIs and databases
• Monitor and troubleshoot performance issues for pipelines
Requirements:
• Bachelor’s degree in Computer Science or related field
In this role, we seek an experienced Azure Databricks Engineer with over 10 years in data engineering. You will utilize your proficiency in Azure Data Factory and big data processing to design and optimize data pipelines, ensuring high data quality and performance. Collaborating closely with data scientists and analysts is essential to deliver innovative data solutions.
Key Responsibilities:
• Design scalable data pipelines using Azure Data Factory
• Develop workflows with Azure Databricks (PySpark/Scala)
• Implement ETL/ELT processes for large datasets
• Integrate data from various sources, including APIs and databases
• Monitor and troubleshoot performance issues for pipelines
Requirements:
• Bachelor’s degree in Computer Science or related field
Ready to Apply?
Submit your application for Senior Azure Databricks Engineer Position at Tredence
Apply Now