Design, develop, and maintain Python-based analytical applications supporting reporting, planning, and decision-making
Build and support data pipelines and workflows, including ingestion, transformation, validation, and integration
Develop and optimize SQL queries, database schemas, and data access patterns for performance and scalability
Create user-facing dashboards, visualizations, and analytical interfaces to enable data exploration and insight generation
Translate complex analytical requirements into scalable, maintainable software solutions
Implement best practices in software development, including version control, testing, and code reviews
Support application lifecycle management, including enhancements, troubleshooting, and performance optimization
Collaborate with technical teams and stakeholders to define requirements and deliver high-quality solutions
Ensure secure development practices and proper handling of data and application dependencies
Document application architecture, workflows, and operational processes

5+ years of experience in software engineering or application development
Strong expertise in Python development
Experience building data-driven or analytical applications, including dashboards and interactive tools
Strong knowledge of: SQL and relational databases
Data pipelines and processing workflows
Application architecture and design principles
Experience with modern frameworks and tools (e.g., Flask, FastAPI, Dash, Streamlit, or similar)
Familiarity with version control, CI/CD pipelines, and automated testing
Strong problem-solving skills and ability to work in fast-paced, collaborative environments
Excellent communication and documentation skills.

Software Engineer, Analytics

Key skills