We are seeking an experienced Python Architect to drive the development of high-performance Data Processing applications. The ideal candidate will be a hands-on technical leader with previous experience as either a Technical Lead or Technical Architect, bringing deep expertise in Python, AI/ML, and Airflow Process Orchestration.

This role combines technical leadership with hands-on development, ensuring best coding practices, Agile methodologies, and efficient software delivery to create scalable data solutions.

Key Responsibilities

Develop and enhance Data Processing applications using Python and Django Framework
Design and optimize high-performance Airflow Process Orchestration
Build, train, test, and optimize ML models using industry best practices
Establish and enforce code quality standards, security protocols, and performance optimization
Lead and collaborate with cross-functional teams to define, design, and deploy new features
Maintain and improve Agile workflows, including JIRA board tracking
Coordinate and participate in code reviews, troubleshooting, and debugging activities
Research and implement emerging Python libraries, tools, and best practices
Provide technical guidance and mentorship to development teams
Communicate effectively with stakeholders and project teams on technical matters
Architect scalable solutions that align with business requirements and technical constraints

Required Skills & Qualifications

Previous experience as a Technical Lead or Technical Architect
Proven experience in designing scalable Python-based Data Processing & Analytics architectures
Expertise in Microservice and Event-driven architectures
Extensive development experience in Python with strong problem-solving capabilities
Minimum 2+ years of experience with Django Framework
Advanced knowledge of Object-Oriented Programming concepts
Hands-on experience with PostgreSQL/MySQL database systems
Demonstrated experience integrating dB connectors package with diverse data stores (PostgreSQL, MySQL, Redis, CSV, BigQuery, etc.)
Practical experience with Airflow Process Orchestration
Proficiency in data science libraries including Scikit-learn, Pandas, and NumPy
Experience implementing and managing Celery Beat schedulers
Knowledge of streaming technologies, caching solutions (Redis, Memcached), and message brokering systems (ActiveM
Demonstrated experience with Agile methodologies and JIRA
Proficiency with version control systems (Git/GitHub/GitLab)
Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders

Nice to Have

Knowledge of Jenkins CI/CD pipelines, Docker, and Cloud deployment strategies
Exposure to DevOps practices and Server Management
Experience with data visualization tools and techniques
Background in performance optimization for large-scale data systems
Experience mentoring junior developers

Qualification

Any Degree

Experience

12 + Years

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