SAS / Python Developer

Job summary

Analyze requirements and develop, test, and maintain scalable Python solutions, including migrating SAS programs, datasets, and analytical processes to Python. Build and optimize Linux/Unix automation and data-processing pipelines, develop SQL solutions for Netezza and Redshift, and collaborate on SAS workload migration or retirement by December 2027.

Job details

Analyze business and technical requirements and design scalable Python-based solutions. Interpret and migrate existing SAS programs, datasets, and analytical processes to Python environments. Develop, test, and maintain high-quality Python applications, scripts, and automation solutions. Build and support Unix/Linux-based automation and data-processing pipelines using scripting and CRON scheduling. Work with relational databases, including Netezza and Redshift, and develop efficient SQL-based data processing solutions. Optimize applications for performance, scalability, reliability, and code quality while maintaining documentation and source code using Git/GitHub. Collaborate with business stakeholders, developers, and infrastructure teams to support migration and modernization objectives, targeting migration or retirement of active SAS workloads by December 2027. Top 3 Required Skills: Python / Anaconda and SAS, including SAS-to-Python migration experience SQL and Databases, including Netezza and Redshift Linux/Unix scripting and CRON scheduling

What you’ll do

Analyze requirements and develop, test, and maintain scalable Python solutions, including migrating SAS programs, datasets, and analytical processes to Python. Build and optimize Linux/Unix automation and data-processing pipelines, develop SQL solutions for Netezza and Redshift, and collaborate on SAS workload migration or retirement by December 2027.

Requirements

The role requires Python and Anaconda, SAS and experience migrating SAS workloads to Python, SQL and relational database experience with Netezza and Redshift, and Linux/Unix scripting with CRON scheduling. It also calls for application development and optimization, Git/GitHub source control, documentation, and collaboration with business and technical teams.

Listed skills

• Python · Preferred
• SQL · Preferred
• Linux · Preferred
• Git · Preferred
• GitHub · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Python
• Anaconda
• SAS
• SAS-to-Python Migration
• SQL
• Netezza
• Redshift
• Linux
• Unix Scripting
• CRON Scheduling
• Data Processing Pipelines
• Git
• GitHub
• Application Performance Optimization

Job areas

• Software
• Technology
• Data & Analytics
• Consulting

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