Python Developer - (Systems Modernization)

SUMMARY Lead the modernization of core data processing systems. Responsible for translating complex legacy SAS logic into robust, high-performance Python solutions. Build and maintain scalable data pipelines that handle large-scale datasets, ensuring that our data products are accurate, well-documented, and optimized for a cloud-native environment. Work with DSD IT Specialists in an integrated team environment. ESSENTIAL DUTIES & RESPONSIBILITIES · Analyze existing SAS-based systems and re-implement logic in Python, ensuring functional parity while improving maintainability, scalability, and performance. · Design and develop end-to-end data pipelines to ingest, clean, validate, and transform diverse data formats—including SAS datasets, Parquet, JSON, and SQL—using larger-than-memory processing techniques. · Profile, optimize, and refactor code to eliminate bottlenecks and improve performance. Implement parallel computing strategies using libraries such as Dask and multiprocessing to efficiently process production-scale workloads. · Develop Python solutions that interface with PostgreSQL for high-volume data storage, retrieval, and processing. · Implement automated testing, data validation, and quality assurance processes to ensure the integrity, accuracy, and reliability of critical data assets throughout the data lifecycle. · Maintain high standards for code quality by producing well-documented, readable, maintainable, and extensible code. Participate in peer reviews and knowledge sharing to promote engineering best practices. · Collaborate with DSD IT Specialists and other stakeholders to implement efficient, scalable Python solutions that meet functional and technical requirements. · Partner with DSD stakeholders to validate business and technical requirements, troubleshoot implementation issues, and support the successful modernization of legacy systems. · Attend branch meetings and communicate technical concepts, project updates, and recommendations clearly and effectively. · Maintain regular communication with the team as required. · Maintain regular and punctual attendance. · Perform other duties as assigned. SUPERVISORY RESPONSIBILITIES None. Requirements MINIMUM QUALIFICATIONS · Ability to read and interpret SAS code. · Experience with Parquet, SQL, JSON, and larger-than-memory datasets. · Experience with libraries like PySpark, multiprocessing, Dask, and code profiling tools. · Experience in Linux environments and cloud-native resources (e.g., AWS). · Strong SQL skills, specifically with PostgreSQL integration. · Version control (Git), unit testing, and technical documentation. · Experience using Python to read and reformat large data files. · Experience improving code performance, including profiling and refactoring code to identify bottlenecks and overhead, preferably in production environments. · Experience writing high-quality code that is well-documented and easy to read, use,…