Software & Analytics Engineer

Role Description

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.

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.