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Software & Analytics Engineer at MetroSys. Location Information: USA. 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