Python Architect

Job Description

Python Architect Primary Requirements: • Experience: >12+yrs of experience working on python & automation project • Expert Proficiency in Python Programming Language: Deep understanding of Python internals, design patterns, and best practices. • Architectural Design and System Planning: Proven ability to design scalable, maintainable, and efficient Python-based architectures. • Extensive Experience with Pandas Library: Advanced knowledge of Pandas for complex data manipulation, analysis, and optimization. • Proficiency in Flask for Robust API and Web Application Development: Experience in designing and implementing RESTful APIs and web applications with a focus on performance and security. • Deep Understanding of SQL and Database Architecture: Ability to design and optimize database schemas, write complex SQL queries, and manage database performance. • Strong Emphasis on Code Quality, Testing, and Deployment: Expertise in designing and implementing comprehensive testing strategies (unit, integration, end-to-end), and experience with CI/CD pipelines. • Experience with Angular framework Good to Have Requirements: • Experience with Google Big Query and Cloud Data Warehousing: Ability to architect and implement data pipelines using Big Query and other GCP services. • Knowledge of Data Integration Tools (e.g., Looker Studio): Experience in designing and implementing data integration strategies. • Experience with distributed systems and microservices architectures. • Experience with Google Cloud Platform (GCP) Services: Expertise in Big Query, Cloud Functions, and other GCP services. • Experience with Data Science and Machine Learning: Knowledge of machine learning libraries and frameworks. • Experience with infrastructure-as-code tools like Terraform. • Experience with event-driven architecture. Key Responsibilities: • Design and Architect Scalable Python-based Systems: Develop architectural blueprints, define system components, and ensure alignment with business requirements. • Engage in daily, hands-on development of code: Actively participate in coding, debugging, and refining Python applications and APIs to ensure high-quality deliverables and continuous system improvement • Lead the Development of Complex Python Applications and APIs: Provide technical leadership, mentor junior developers, and ensure adherence to coding standards. • Optimize Data Processing and Analysis Workflows: Design and implement efficient data pipelines using Pandas and Big Query. • Develop and Maintain Robust Database Solutions: Design and optimize database schemas and implement efficient SQL queries. • Enforce Code Quality Standards and Testing Strategies: Implement comprehensive testing frameworks and ensure code reliability. • Drive Technology Evaluations and Implement Best Practices: Research and evaluate new technologies and recommend architectural improvements. • Collaborate with Cross-functional Teams and Stakeholders: Communicate technical concepts effectively and provide strategic guidance.