Python Developer

Role - Python Developer
Mode - 👉 Contract
Location - 👉Remote
Rate - Market
Experience - +10 Years
Job Description- 

● Python: Advanced proficiency, with experience in writing clean, maintainable, and efficient code.
● SQL/Presto: Strong knowledge of database querying and optimization. 
● Bash: Proficient in writing scripts for automation and system management. 
● Flask or equivalent: Experience in developing and maintaining web applications using Flask. 
● Airflow or equivalent: Proficiency in creating and managing workflows using Apache Airflow. 
● Datadog/Pagerduty or equivalent: Experience in setting up and managing monitoring and alerting systems. Soft Skills: 
● Proactive Attitude: Must not wait for assignments; take initiative and drive projects forward.
● Clear Communication: Ability to communicate complex technical concepts clearly and effectively.
● Accountability: Take full responsibility for project outcomes with good time management and project management skills. 
Nice-to-have Skills 
● Java/Javascript/Typescript/React: Solid understanding of frontend and backend development, with experience in building and maintaining web applications. 
● Labeling: Familiarity with any labeling vendor’s API and tools for managing data labeling tasks. 
● Experience in container orchestration and management using Kubernetes. 
● REST: Proficiency in designing and consuming RESTful APIs. 
● Aurora (Database): Strong understanding of Amazon Aurora for managing relational databases. 
● Flask-Migrate: Experience in handling database migrations using Flask-Migrate and SQLAlchemy ORM. 
● Refactoring: Ability to refactor and improve existing codebases for better performance and maintainability.
● Backend Maintenance: Experience in maintaining backward compatibility while introducing new features. 
● Unit/Integration Test Setup: Proficiency in setting up and maintaining unit and integration tests. 
● API Design: Experience in designing scalable and efficient APIs. 
● Observability and Alert Management: Skills in fine-tuning observability and alerting mechanisms for better system monitoring. 
● Data Engineering: Experience in data pipeline design and management