Python Professional

Job Description

• Develop, test, and maintain robust Python-based applications and backend services.
• Construct and optimize RESTful APIs and microservices utilizing popular frameworks such as Django or Flask.
• Implement efficient data processing, automation scripts, and Extract, Transform, Load (ETL) workflows.
• Engage with diverse database systems including relational databases like PostgreSQL and MySQL, and NoSQL databases such as MongoDB or Redis.
• Focus on optimizing code for enhanced scalability, peak performance, and stringent security.
• Foster collaboration with front-end developers, DevOps engineers, and data scientists to achieve project goals.
• Leverage message brokers like Kafka, RabbitMQ, or Celery for implementing asynchronous processing capabilities.
• Deploy applications seamlessly using containerization technologies like Docker and orchestration platforms such as Kubernetes, deployed on major cloud providers like AWS, Azure, or GCP.
• Produce clean, modular, and well-documented code, adhering strictly to industry best practices.
• Proactively troubleshoot and resolve complex performance issues within 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