Job Title: Python Architect /Seniour Python Developer

Location: [ Remote]

Experience: 12+ years

Employment 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.