Transform legacy SAS workloads into scalable Python environments remotely from Canada, using Anaconda, SQL, and Linux automation. Strengthen analytical workflows through technical governance. As a senior technical lead, you will modernize applications, data processes, and analytical workflows across a large-scale initiative. You will translate complex requirements, assess SAS assets, and build reliable solutions using Python, relational databases, and Unix-based automation. This contract or full time position supports collaboration during CST hours. Key Responsibilities:

Assess and migrate SAS programs, datasets,



and workflows Translate business requirements into maintainable applications Optimize workflows for performance and long-term reliability Establish coding standards and reusable development patterns Maintain documentation, Git repositories, and version control Requirements:

Hands-on Python development experience using Anaconda Solid SAS and SQL experience with complex analytical processes Relational database experience, including Netezza and Amazon Redshift Unit testing, debugging, optimization, and performance tuning experience Strong stakeholder communication and analytical problem-solving skills Bring SAS modernization, Python engineering, database knowledge, and quality-focused governance to a remote data transformation initiative.

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📌 Senior SAS Python Data Modernization Lead (Winnipeg)
🏢 Jobgether
📍 Winnipeg