Paracon SA is the founding company of the Paracon group of companies which provides Information and Communication Technology (ICT) services and solutions to a wide range of local and international clients. Paracon’s core business is its Resourcing division which is the leading supplier of ICT resources in South Africa, providing skilled ICT candidates for ...
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We are looking for a skilled and proactive Python Developer to join our dynamic team on a 3 month contract. The ideal candidate will have a strong background in software development, passion for clean code, and the ability to solve complex problems. You will be responsible for developing, maintaining, and optimizing backend systems and APIs using Python.
Key Responsibilities:
Redesign, develop, test, and maintain scalable backend services using Python.
Write clean, efficient, reusable, and testable code following best practices.
Collaborate with the development team to build robust and efficient ETL processes.
Work closely with Developers, Business Analysts, and Project Managers to automate processes leveraging Python.
Partner with quants and analysts to translate complex mathematical models into efficient, maintainable Python code.
Structure data effectively for reporting purposes, ensuring only necessary fields and records are loaded.
Design, develop, and maintain Python-based tools and applications for quantitative research and financial modeling.
Utilize Spyder for debugging, prototyping, and analyzing quantitative algorithms and data pipelines.
Integrate third-party data sources (e.g., Bloomberg, Refinitiv, Yahoo Finance APIs) and implement reliable data handling procedures.
Optimize code performance to handle large datasets and support real-time processing requirements.
Document systems comprehensively and actively contribute to internal knowledge sharing.
Minimum Requirements:
Bachelor’s degree in Computer Science or a related field (or equivalent practical experience)
5+ years of professional experience in Python development
Strong experience with relational databases and SQL
Proficient in version control systems such as GitHub and Azure DevOps
Solid understanding and application of unit testing practices
Exposure to Microsoft Power Platform tools (Power Apps, Power Automate, Power BI) is a plus
Strong foundation in quantitative finance, statistics, or applied mathematics
Proficient in using the Spyder IDE for data analysis and debugging
Hands-on experience with core Python libraries, including Pandas, NumPy, SciPy, Matplotlib, and scikit-learn
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