Description

You will modernize legacy data infrastructure and applications, translating complex requirements into scalable, maintainable software solutions for time-sensitive production environments.

This role is on-site.

Responsibilities

• Develop and maintain software applications using R, Python, and SQL-based platforms to support statistical production processes.
• Modernize legacy code and databases, ensuring uninterrupted monthly workflows during the transition to new technologies.
• Analyze system requirements to identify opportunities for improved performance, reliability, and processing efficiency.
• Design and build reusable components, technical frameworks, and supporting tools aligned with business needs.
• Manage the full software development lifecycle, including testing, debugging, documentation, and secure release processes.

Required Skills

• 7+ years of experience in application development within enterprise or data-intensive environments.
• Significant professional programming experience in R or Python, including end-to-end development and production deployment.
• Strong proficiency in SQL and familiarity with data platforms such as DuckDB.
• Experience applying Software Development Life Cycle (SDLC) best practices in robust production settings.
• Ability to create technical artifacts including block diagrams, logic-flow charts, and data-flow diagrams.
• Proven track record of testing, debugging, and documenting production-grade software applications.
• Strong analytical skills to comprehend complex data structures, system dependencies, and business rules.

Preferred Skills

• Familiarity with legacy environments such as FAME or similar database systems.
• Experience evaluating and integrating artificial intelligence tools or coding assistants into development workflows.

Key Skills

Education

Any Graduate