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Job Title: Python Architect /Seniour Python Developer Location: [ Remote]Experience: 12+ yearsEmployment Type: [Full-time ]Primary Responsibilities:Architect Scalable Python-Based Systems: Design modular, maintainable, and efficient system architectures aligned with business goals.Hands-on Development: Actively contribute to core development tasks including coding, debugging, and performance optimization.Technical Leadership: Mentor team members, conduct code reviews, and enforce coding standards.API and Web Development: Design and implement secure, high-performance RESTful APIs and web applications using Flask.Data Processing & Analysis: Optimize data pipelines and workflows leveraging Pandas and BigQuery for complex data manipulation and analytics.Database Design & Optimization: Architect relational databases, craft complex SQL queries, and enhance performance at scale.Code Quality & Deployment: Define testing strategies (unit, integration, E2E), and implement CI/CD pipelines for seamless delivery.Cross-functional Collaboration: Engage with stakeholders, product teams, and other developers to align on technical and business goals.Technology Evaluation & Best Practices: Lead adoption of modern tools, frameworks, and architectural patterns.Primary Requirements:12+ years of hands-on experience in Python-based software development and automation.Deep knowledge of Python internals, design patterns, and best practices.Proven track record of architecting scalable, high-performing systems.Expert-level proficiency with Pandas for large-scale data processing and optimization.Strong experience building RESTful APIs and web apps using Flask.Advanced SQL skills and deep understanding of database design and tuning.Strong commitment to code quality, testing practices, and deployment automation (CI/CD).Familiarity with Angular for front-end integrations or full-stack workflows.Good to Have:Experience with Google BigQuery, Cloud Functions, and other GCP services.Familiarity with Lookerstudio or other data integration and visualization tools.Background in distributed systems or microservices architectures.Experience with infrastructure-as-code tools like Terraform.Exposure to event-driven architectures and message queues (e.g., Pub/Sub, Kafka).Working knowledge of Data Science / ML frameworks (e.g., scikit-learn, TensorFlow).Soft Skills:Excellent communication and documentation skills.Strong problem-solving mindset and business acumen.Ability to work independently and lead in a fast-paced environment.