Python/Django Lead

As an experienced Python developer, you will be responsible for the following: - Hands-on experience in Python programming and strong SQL skills. - Designing distributed systems using Python. - Mentoring a team of both experienced developers and fresh graduates in Python. - Working with Python libraries/frameworks such as Flask, Celery, Django, etc. - Developing private PIP packages and applying object-oriented programming concepts. - Understanding MVC, Mocking, ORM, and REST APIs. - Writing Unit Tests using frameworks like PyTest and maintaining clean, readable Python code. - Integrating multiple data sources and databases into a unified system. - Monitoring system metrics like CPU, Memory, Disk Space, Network latency, and telemetry services. - Applying fundamental design principles for scalable applications and RDBMS databases. - Proficient in Git and leading DevOps practices. - Demonstrating effective verbal and written communication skills. - Working with distributed task frameworks and Version control tools like GIT. - Translating complex data sets and research into actionable business recommendations. - Experience with PostgreSQL and exposure to public cloud platforms like Azure / AWS. - Familiarity with Serverless computing, TDD, Geo-Spatial Data, IOT systems, and Data Science concepts (Machine Learning and Deep learning). No additional company details were provided in the job description. As an experienced Python developer, you will be responsible for the following: - Hands-on experience in Python programming and strong SQL skills. - Designing distributed systems using Python. - Mentoring a team of both experienced developers and fresh graduates in Python. - Working with Python libraries/frameworks such as Flask, Celery, Django, etc. - Developing private PIP packages and applying object-oriented programming concepts. - Understanding MVC, Mocking, ORM, and REST APIs. - Writing Unit Tests using frameworks like PyTest and maintaining clean, readable Python code. - Integrating multiple data sources and databases into a unified system. - Monitoring system metrics like CPU, Memory, Disk Space, Network latency, and telemetry services. - Applying fundamental design principles for scalable applications and RDBMS databases. - Proficient in Git and leading DevOps practices. - Demonstrating effective verbal and written communication skills. - Working with distributed task frameworks and Version control tools like GIT. - Translating complex data sets and research into actionable business recommendations. - Experience with PostgreSQL and exposure to public cloud platforms like Azure / AWS. - Familiarity with Serverless computing, TDD, Geo-Spatial Data, IOT systems, and Data Science concepts (Machine Learning and Deep learning). No additional company details were provided in the job description.