Software & Analytics Engineer

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