SAS / Python Developer

Viva Tech Solutions; Toronto; On-site; CAD 90,000 - 130,000; Full time

Job summary

Viva Tech Solutions in Canada, Ontario, Toronto is seeking a skilled data engineering specialist to analyze business and technical requirements and design scalable Python-based solutions. You will migrate existing SAS programs to Python, develop and maintain Python applications, and build Unix/Linux automation pipelines.

You will work with relational databases including Netezza and Redshift, optimize performance, and document code with Git.

Qualifications

• Proficient in Python with SAS migration experience.
• Strong SQL skills with Netezza/Redshift.
• Experience with Unix/Linux scripting and CRON.

Responsibilities

• Analyze business and technical requirements and design scalable Python-based solutions.
• Migrate existing SAS programs, datasets, and processes to Python environments.
• Develop, test, and maintain 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.

Skills

Python & SAS migration

SQL & Databases (Netezza/Redshift)

Linux/Unix scripting & CRON

Job description

• 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