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We are seeking a talented and motivated Python Data Engineer to join our global team. In this role, you will be instrumental in expanding and optimizing our data assets to enhance analytical capabilities across the organization. You will collaborate closely with traders, analysts, researchers, and data scientists to gather requirements and deliver scalable data solutions that support critical business functions.
Job Responsibility:
Develop modular and reusable Python components to connect external data sources with internal systems and databases
Work directly with business stakeholders to translate analytical requirements into technical implementations
Ensure the integrity and maintainability of the central Python codebase by adhering to existing design standards and best practices
Maintain and improve the in-house Python ETL toolkit, contributing to the standardization and consolidation of data engineering workflows
Partner with global team members to ensure efficient coordination and delivery
Actively participate in internal Python development community and support ongoing business development initiatives with technical expertise
Requirements:
6+ years of professional Python development experience at an enterprise level
Bachelor's degree in Computer Science, MIS, or a related technical field
Proven experience building and maintaining data pipelines and ETL processes
Proficiency with web scraping tools and techniques (e.g., Requests, BeautifulSoup, Selenium)
Hands-on experience with Oracle / PL SQL, including stored procedures
Strong knowledge of object-oriented programming, design patterns, and SOA architectures
Familiarity with Agile/Scrum methodologies and modern version control and issue tracking tools
Experience with Python libraries such as Pandas and NumPy