Description

Design and maintain scalable backend applications using Python.

This role is on-site.

Responsibilities

• Develop real-time data pipelines and integrations using Kafka.
• Build and optimize data models and queries in NoSQL databases.
• Use PySpark for large-scale data processing and analytics.
• Develop and integrate RESTful APIs to support application functionalities.
• Troubleshoot performance, scalability, and data consistency issues.

Required Skills

• Python (2-5 years experience).
• Kafka for event streaming.
• NoSQL database design and optimization.
• PySpark for big data processing.
• RESTful API development and integration.
• Strong understanding of backend architecture and scalability.
• Ability to collaborate with cross-functional teams.

Preferred Skills

• Experience with real-time data processing systems.
• Background in data engineering or analytics.

Key Skills

Education

Any Graduate