Job Description:
Job Overview:
We are looking for a skilled Python Developer to join our dynamic team. The ideal candidate
will have experience in designing, developing, and deploying scalable applications using
Python, along with expertise in SQL databases and Docker. You will work on building efficient
backend systems, optimizing database performance, and deploying applications in
containerized environments.
Key Responsibilities:
? Develop, test, and maintain Python-based applications.
? Design and optimize SQL queries, schemas, and database performance.
? Develop and manage Docker containers for application deployment.
? Collaborate with cross-functional teams to define, design, and implement features.
? Write clean, maintainable, and efficient code following best practices.
? Troubleshoot, debug, and enhance existing applications.
? Ensure the security and performance of applications and databases.
? Automate deployment and scaling using Docker and related technologies.
? Stay updated with industry best practices and emerging technologies.
? Strong problem solving skills are required in terms of Data Structures and algorithms
Required Skills & Qualifications:
? 2-5 years of professional experience as a Python Developer.
? Strong knowledge of Python and its frameworks (Django, Flask, or FastAPI).
? Hands-on experience with SQL databases (PostgreSQL, MySQL, or MS SQL).
? Proficiency in writing optimized SQL queries and database management.
? Experience with Docker for containerized applications.
? Familiarity with version control systems (Git, GitHub, or GitLab).
? Understanding of RESTful APIs and microservices architecture.
? Strong problem-solving and debugging skills.
? Ability to work in an Agile development environment.
Nice to Have:
? Experience with cloud platforms (AWS, Azure, GCP).
? Knowledge of CI/CD pipelines and automation tools.
? Familiarity with NoSQL databases (MongoDB, Redis).
? Exposure to Kubernetes for container orchestration.
Skill:
Python Developer, SQL databases (PostgreSQL, MySQL, or MS SQL), Docker, cloud (AWS, Azure,GCP).
