Data Integration Specialist - Python

Role Overview: As a member of Qube Research & Technologies (QRT), your core objective will be to manage the multiple and extensive datasets used in the QRT research and trading platform. You will be responsible for contributing to the design and implementation of the QRT data store and its API. Additionally, you will monitor fetching processes and data health, integrate alternative datasets, and provide support to users including Quants & Traders. Key Responsibilities: - Manage the multiple and extensive datasets used in the QRT research and trading platform - Contribute to the design and implementation of the QRT data store and its API - Monitor fetching processes and data health - Integrate alternative datasets - Support users, including Quants & Traders Qualifications Required: - 2-10+ years' experience in a related field - Advanced knowledge of Python is a must - Knowledge of C#, Rust, and JavaScript is a plus - Previous experience handling and processing large amounts of both structured and unstructured data - Experience using new age technologies like data-lake, data-mesh in cloud - Prior experience in financial assets, market data, and its data vendors is a plus - Intellectual curiosity to learn new technologies to build scalable and robust products - Capacity to work with autonomy within a global team - Advanced English, both written and verbal communication skills required to understand business requirements QRT is an equal opportunity employer that values diversity and empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, QRT offers initiatives and programs to enable employees to achieve a healthy work-life balance. Role Overview: As a member of Qube Research & Technologies (QRT), your core objective will be to manage the multiple and extensive datasets used in the QRT research and trading platform. You will be responsible for contributing to the design and implementation of the QRT data store and its API. Additionally, you will monitor fetching processes and data health, integrate alternative datasets, and provide support to users including Quants & Traders. Key Responsibilities: - Manage the multiple and extensive datasets used in the QRT research and trading platform - Contribute to the design and implementation of the QRT data store and its API - Monitor fetching processes and data health - Integrate alternative datasets - Support users, including Quants & Traders Qualifications Required: - 2-10+ years' experience in a related field - Advanced knowledge of Python is a must - Knowledge of C#, Rust, and JavaScript is a plus - Previous experience handling and processing large amounts of both structured and unstructured data - Experience using new age technologies like data-lake, data-mesh in cloud - Prior experience in financial assets, market data, and its data vendors is a plus - Intellectual curiosity to learn new technologies to build scalable and robust products - Capacity to work with autonomy within a global team - Advanced English, both written and verbal communication skills required to understand business requirements QRT is an equal opportunity employer that values diversity and empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, QRT offers initiatives and programs to enable employees to achieve a healthy work-life balance.