Python Software Developer

Seeking a highly skilled engineer with expertise in Python to join our dynamic team. The ideal candidate will have extensive experience in migrating SAS-based programs to Python, ensuring seamless transition and optimization of the data processes.

Key Responsibilities:

• Code and Data Conversion: Convert SAS code of analytical assets to Python, ensuring the accuracy and efficiency of the new programs. Work with SaS team on this reverse engineering.
• Design, build, and maintain scalable pipelines, workflows using Python.
• Optimization: Enhance the performance of migrated programs by leveraging the capabilities of Python.
• Migration Planning: Contribute into developing a comprehensive migration plan, including timelines, resource allocation, and risk management.
• Testing and Validation: Conduct thorough testing and validation of migrated programs to ensure they meet performance and functionality standards.
• Evaluates all work is completed in compliance with internal Privacy and Security Policies and Procedures and migration project practices.
• Meet timelines and milestones by monitoring deliverables. Identifies, reports and helps solve potential risks and issues.
• Documentation: Maintain detailed documentation of migration processes, including code changes, testing procedures, and performance metrics.
• Collaboration: Work closely with SaS developers, data scientists, data engineers, and other stakeholders to ensure successful migration and integration of programs.
• Training and Support: Provide training and support to team members on the new, Python.

Required Qualifications:

• Educational Background: Bachelors degree in computer science, Data Science, Information Technology, or a related field.
• Experience: Minimum of 5-7 years of experience in Python, Jupyter Notebooks, Git and SQL.

Technical Skills:

• Proficiency in Python for reverse engineering of SaS code, data manipulation and distributed computing.
• Strong understanding of data processing and analysis related to Finance and Risk data.
• Experience with cloud platforms such as Azure, focusing on data engineering services.
• Familiarity with database systems and data warehousing concepts.
• Problem-Solving Skills: Excellent analytical and problem-solving abilities.
• Communication Skills: Strong verbal and written communication skills.
• Team Collaboration: Ability to work effectively in a collaborative team environment.

Preferred Qualifications:

• Certifications: Relevant certifications in Python or cloud computing.
• Experience with large Enterprise IT environments: Knowledge of enterprise technologies and frameworks related data, analytics, and data processing.
• Some experience working with Azure ecosystems
• Would be an added advantage of having SaS based code migration to Python