Found Description
Step into a Data Warehouse Tester role in Toronto that offers a hybrid work environment. This 12-month contract focuses on PySpark and Python for data processing efficiency.
The role requires extensive hands-on experience in developing large-scale data processing pipelines using PySpark. As a Data Warehouse Tester, you will employ Python for ETL tasks and collaborate via GitHub for version control. Additionally, you'll use JIRA for task tracking and engage with cross-functional teams in Agile settings.
Key Responsibilities:
• Optimize data pipelines with PySpark for better performance
• Develop ETL processes and automation with Python programming
• Manage code versioning and collaboration on GitHub
• Plan sprints and tasks effectively using JIRA
• Work within Agile environments using Scrum and Kanban
Requirements:
• Proficient in PySpark for data processing pipeline development
• Solid expertise in Python programming for ETL
• Familiar with GitHub for c...
The role requires extensive hands-on experience in developing large-scale data processing pipelines using PySpark. As a Data Warehouse Tester, you will employ Python for ETL tasks and collaborate via GitHub for version control. Additionally, you'll use JIRA for task tracking and engage with cross-functional teams in Agile settings.
Key Responsibilities:
• Optimize data pipelines with PySpark for better performance
• Develop ETL processes and automation with Python programming
• Manage code versioning and collaboration on GitHub
• Plan sprints and tasks effectively using JIRA
• Work within Agile environments using Scrum and Kanban
Requirements:
• Proficient in PySpark for data processing pipeline development
• Solid expertise in Python programming for ETL
• Familiar with GitHub for c...
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