Migration Architect

Migration Architect: Convert SAS to Python, optimize data flow, ensure script integrity, and train teams in Python for Suadeo's Data Mesh strategy. Job Description / Role Existing System Analysis: Map the current application developed in SAS. Identify dependencies, business rules, and critical processes. Migration Design: Propose a target architecture in Python aligned with Suadeo's Data Mesh strategy and federated governance. Contribute to drafting technical specifications. Development and Optimization: Convert SAS scripts to Python using best practices in data engineering. Optimize data flow performance by leveraging relevant Python libraries (Pandas, Num Py, Dask, Py Spark, etc., as needed). Testing and Validation: Ensure the integrity of results after script conversion. Documentation and Knowledge Transfer: Write technical documentation on new scripts and data pipelines. Train internal teams on new Python practices to ensure full tool adoption. Requirements TECHNICAL SKILLS: Strong expertise in SAS: ability to create complex scripts, use macros, and manage analytical models. Proficiency in Python: especially for migrating ETL pipelines or statistical models. Familiarity with Python libraries for data manipulation and analysis (Pandas, Num Py, Sci Py). Knowledge of cloud environments and Kubernetes (an asset for integration into containerized systems). Experience with version control tools (Git, Git Lab). ABOUT YOU: Ability to work collaboratively in an agile SAFe environment. Autonomy and proactivity in identifying and solving issues. Strong communication and teaching skills for effective knowledge transfer. PREFERRED QUALIFICATIONS: Master's degree (Bac +5) in computer science, statistics, or equivalent. At least 5 years of experience working on projects involving SAS and Python. Experience in similar migration projects is highly valued. #J-18808-Ljbffr