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Experienced Python Developer for Scalable Data Solutions

Summary

Build and optimize scalable Python-based data pipelines for financial data processing, ensuring integrity and performance in a Linux environment.

Become a key player as a Python developer focused on building scalable data pipelines. Collaborate with financial experts to optimize data delivery and integrity in a dynamic environment. This role is designed for an experienced software developer with a strong background in Python and data engineering. You will be responsible for optimizing data ingestion pipelines and collaborating closely with researchers and traders. A strong focus on maintainable systems and hands-on experience in Linux environments are critical to success. Key Responsibilities: • Design scalable data pipelines for financial data processing • Collaborate with teams to onboard new datasets • Maintain and enhance distributed systems and databases • Develop software solutions in Linux environments • Debug and troubleshoot data integrity and performance Requirements: • Bachelor's degree in a STEM field • 4+ years of Python development experience • Strong SQL and RDBMS skills, preferably PostgreSQL • ETL pipeline development experience • Experience with high-throughput data systems Leverage your expertise in Python and data to contribute significantly to a growing data team while enhancing system efficiency.

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