Found Description
Join TMX as a Senior Data QA Analyst in a hybrid role focused on backend automation and data integrity. Utilize your Python and SQL skills to ensure data accuracy in high-volume trading environments.
This backend-heavy engineering role requires a passion for data QA and automation within the Datalinx cluster. You’ll design simulation frameworks, validate ETL processes in AWS, and perform deep-dive analyses using advanced SQL against major databases. If you're skilled at troubleshooting data pipelines in a high-stakes setting, this position is ideal for you.
Key Responsibilities:
• Build and maintain Python automation scripts for trade simulations
• Validate pipelines within AWS, ensuring data integrity and flow
• Execute advanced SQL queries for accuracy verification
• Analyze data product lifecycle and identify performance bottlenecks
• Conduct root cause analysis of data-related issues
Requirements:
• Minimum 5 years in Software Quality Assurance
• Exper...
This backend-heavy engineering role requires a passion for data QA and automation within the Datalinx cluster. You’ll design simulation frameworks, validate ETL processes in AWS, and perform deep-dive analyses using advanced SQL against major databases. If you're skilled at troubleshooting data pipelines in a high-stakes setting, this position is ideal for you.
Key Responsibilities:
• Build and maintain Python automation scripts for trade simulations
• Validate pipelines within AWS, ensuring data integrity and flow
• Execute advanced SQL queries for accuracy verification
• Analyze data product lifecycle and identify performance bottlenecks
• Conduct root cause analysis of data-related issues
Requirements:
• Minimum 5 years in Software Quality Assurance
• Exper...