Job Description
Position Overview
MetroSys is seeking a highly skilled Software & Analytics Engineer to design, develop, and support data-driven applications and analytical platforms that enable advanced decision-making and operational insights. This role focuses on building scalable, secure, and user-friendly software solutions that transform complex data into actionable intelligence.
The ideal candidate is a hands-on engineer with strong experience in Python development, data engineering, and analytical application design, capable of working closely with stakeholders to translate business and analytical requirements into production-ready solutions.
Key Responsibilities
- 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
Required Qualifications
- 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
Preferred Skills
- Experience with data visualization tools and libraries (Plotly, Dash, etc.)
- Familiarity with cloud platforms or modern data platforms
- Experience supporting decision-support or analytical systems
- Exposure to simulation modeling or scenario-based analysis
- Experience in client-facing or consulting environments
