Description

You will build and maintain scalable Python applications and real-time data processing pipelines.

Responsibilities

• Develop, test, and maintain scalable Python applications and existing codebases.
• Design and implement event-driven architectures and streaming pipelines.
• Optimize real-time data processing pipelines for performance and reliability.
• Integrate third-party services and APIs into Python applications.
• Conduct code reviews and collaborate with cross-functional teams to ship new features.

Required Skills

• 5+ years of experience in Python development using FastAPI.
• Hands-on experience with stream processing frameworks including Kafka and Apache Flink.
• Practical knowledge of message brokers and asynchronous programming.
• Experience building and managing event-driven systems and microservices architecture.
• Proficiency with Git for version control.
• Experience working with relational and NoSQL databases.
• Solid understanding of data structures and algorithms.
• Familiarity with containerization using Docker and Kubernetes.
• BE/B.Tech degree in engineering or any graduate degree.

Preferred Skills

• Exposure to CI/CD pipelines and automated testing.
• Knowledge of cloud platforms including AWS, Azure, or GCP.
• Experience with monitoring and observability tools like Prometheus and Grafana.

Key Skills

Education

Any Graduate