Python Professional

Job description

• Develop, test, and maintain Python-based applications and backend services.
• Build and optimize RESTful APIs and microservices using frameworks like Django or Flask.
• Implement data processing, automation, and ETL workflows.
• Work with relational and NoSQL databases such as PostgreSQL, MySQL, MongoDB, or Redis.
• Optimize code for scalability, performance, and security.
• Collaborate with front-end developers, DevOps engineers, and data scientists.
• Work with message brokers like Kafka, RabbitMQ, or Celery for asynchronous processing.
• Deploy applications using Docker, Kubernetes, and cloud platforms (AWS, Azure, or GCP).
• Write clean, modular, and well-documented code following best practices.
• Troubleshoot and resolve performance issues in production environments.

Required Skills

• Python

Role: Data Platform Engineer

Industry Type: Recruitment / Staffing

Department: Engineering - Software & QA

Employment Type: Full Time, Permanent

Role Category: Software Development

Education

UG: Any Graduate

PG: Any Postgraduate