Data Modeler

Job Description - Develop, maintain, and optimize ETL pipelines. - Design and implement robust data pipelines in Python, focusing on scalability, performance, and reliability. - Schedule and automate workflows, enhancing operational efficiency and accuracy. - Collaborate in the development and maintenance of cloud-based infrastructure, applying best practices in DevOps to ensure high data availability and scalability. - Work closely with data scientists, quantitative researchers, and trading teams to understand their data needs, providing technical solutions that enable effective data analysis and strategy implementation. - Ensure code quality and maintainability by implementing strong CI/CD practices, code versioning, automated tests, and conducting thorough peer-reviews. - Stay current with emerging trends and advancements in software development, data engineering, and cloud technologies, integrating new tools and techniques where beneficial. - Expertise in handling and optimizing relational databases to support analytical applications