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About the role
Role Overview: Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, utilizing a scientific approach to investing across liquid asset classes. As a part of QRT, you will play a crucial role in managing data operations activities, ensuring the smooth functioning of data pipelines, and enhancing operational stability. Key Responsibilities: - Own and automate data operations processes, collaborating with external vendors and internal data teams. - Enhance observability of data pipelines by creating and maintaining dashboards and implementing automated checks. - Monitor data pipelines, providing Level 1 production support. - Monitor framework and infrastructure systems to ensure operational stability. - Maintain and update operational runbooks and process documentation. Qualifications Required: - Bachelor's or master's degree in engineering or a related field. - 3+ years of experience in data operations and production support. - Strong Python scripting skills. - Collaborative mindset with a positive and proactive attitude. - Strong problem-solving skills, communication abilities, and attention to detail. (Note: No additional details of the company were present in the job description) Role Overview: Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, utilizing a scientific approach to investing across liquid asset classes. As a part of QRT, you will play a crucial role in managing data operations activities, ensuring the smooth functioning of data pipelines, and enhancing operational stability. Key Responsibilities: - Own and automate data operations processes, collaborating with external vendors and internal data teams. - Enhance observability of data pipelines by creating and maintaining dashboards and implementing automated checks. - Monitor data pipelines, providing Level 1 production support. - Monitor framework and infrastructure systems to ensure operational stability. - Maintain and update operational runbooks and process documentation. Qualifications Required: - Bachelor's or master's degree in engineering or a related field. - 3+ years of experience in data operations and production support. - Strong Python scripting skills. - Collaborative mindset with a positive and proactive attitude. - Strong problem-solving skills, communication abilities, and attention to detail. (Note: No additional details of the company were present in the job description)
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