Job
Description
As a Technical Architect at Gadgeon, you will play a crucial role in driving the development of high-performance Data Processing applications using your expertise in Python, AI/ML, and Airflow Process Orchestration. Your technical leadership and hands-on development skills will be instrumental in ensuring the delivery of scalable data solutions through best coding practices and Agile methodologies. 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 following industry best practices - Establish and enforce code quality standards, security protocols, and performance optimization - Lead cross-functional teams in defining, designing, and deploying new features - Maintain Agile workflows, including JIRA board tracking - Coordinate 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 aligned 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 (ActiveMQ) - 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 As a Technical Architect at Gadgeon, you will play a crucial role in driving the development of high-performance Data Processing applications using your expertise in Python, AI/ML, and Airflow Process Orchestration. Your technical leadership and hands-on development skills will be instrumental in ensuring the delivery of scalable data solutions through best coding practices and Agile methodologies. 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 following industry best practices - Establish and enforce code quality standards, security protocols, and performance optimization - Lead cross-functional teams in defining, designing, and deploying new features - Maintain Agile workflows, including JIRA board tracking - Coordinate 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 aligned 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 scheduler
