Back End Developer

Job Title: Senior Backend Developer (Python)

Location: [Insert Location]

Experience Required: 3-5 Years

Employment Type: Full-Time

About the Role

We are seeking a highly skilled Senior Backend Developer with strong expertise in Python and Data Engineering to design, develop, and optimize scalable backend systems and data pipelines. The ideal candidate should have hands-on experience with relational and NoSQL databases including PostgreSQL and MongoDB, and a strong understanding of distributed systems and backend architecture.

Key Responsibilities

Backend Development

• Design, develop, and maintain scalable backend services using Python
• Build RESTful APIs and microservices
• Optimize application performance and ensure high availability
• Implement clean, maintainable, and testable code

Data Engineering

• Design and develop robust ETL/ELT pipelines
• Work with structured and semi-structured datasets
• Optimize large-scale data processing workflows
• Ensure data integrity, validation, and transformation

Database Management

• Design and optimize database schemas in PostgreSQL
• Manage and scale MongoDB collections
• Write complex SQL queries, indexing strategies, and performance tuning
• Implement database security and backup strategies

Architecture & DevOps

• Participate in system architecture discussions
• Implement scalable microservices-based architectures
• Work with containerization tools (Docker preferred)
• Collaborate with DevOps for CI/CD implementation
• Monitor backend performance and troubleshoot production issues

Technical Skills Required

Core Skills

• Strong proficiency in Python
• Experience with backend frameworks (FastAPI / Django / Flask)
• Strong SQL expertise (PostgreSQL)
• Hands-on experience with MongoDB
• REST API design and development

Data Engineering Skills

• Experience with ETL pipelines
• Data modeling & warehousing concepts
• Experience handling large datasets
• Knowledge of data transformation and optimization techniques

Good to Have

• Experience with cloud platforms (AWS / GCP / Azure)
• Knowledge of Airflow or workflow orchestration tools
• Experience with message brokers (Kafka / RabbitMQ)
• Familiarity with Docker & Kubernetes
• Understanding of distributed systems