Technical Architect

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

Skills Required

Python, Django, Airflow, Pandas, Numpy, Postgresql