Data Analyst-Developer

Here's a brief overview of the tasks and responsibilities you'll be able to:

• Convert and modernize existing processing from SAS to Python.
• Develop and maintain data ingestion and processing pipelines according to internal standards.
• Manipulate different data formats, including CSV, SAS, XLSX, and DMP.
• Ensure the quality, integrity and performance of data processing.
• Collaborate with operations and architecture teams.
• Perform trials, document solutions and contribute to the automation of processing with Control-M.

The Profile We Are Looking For Is As Follows

• Bachelor's degree in computer science, software engineering, computer engineering, or a related field.
• Minimum of 7 years of experience in information technology, including 5 years as an implementation analyst in a large data warehouse environment.
• Good command of Python.
• Good knowledge of Git and Azure DevOps development pipelines.
• Knowledge of Control-M.
• Comfortable with generative AI tools (LLMs) and Markdown templates to support documentation and, when relevant, code conversion.
• Autonomy and resourcefulness.