Data Engineer with Python Django

About the Role and Job

We are looking for a skilled Data Engineer with strong expertise in Python and Django to design, build, and maintain scalable data pipelines and backend systems. The ideal candidate will have hands-on experience in data processing, API development, and working with large datasets in a production environment.

Key Responsibilities

• Design, develop, and maintain robust data pipelines and ETL processes
• Build and optimize backend services using Python and Django
• Develop RESTful APIs for data access and integration
• Work with structured and unstructured data from multiple sources
• Ensure data quality, integrity, and security across systems
• Collaborate with data scientists, analysts, and cross-functional teams
• Optimize database performance and manage large-scale datasets
• Implement data validation, monitoring, and logging solutions

Required Skills & Qualifications

• Strong proficiency in Python programming
• Hands-on experience with Django or Django REST Framework
• Experience in building and managing ETL pipelines
• Solid understanding of databases (PostgreSQL, MySQL, or NoSQL)
• Experience with data modeling and data warehousing concepts
• Familiarity with REST APIs and microservices architecture
• Knowledge of version control tools like Git
• Strong problem-solving and analytical skills

Preferred Qualifications

• Experience with cloud platforms (AWS, Azure, or GCP)
• Familiarity with big data tools (Spark, Hadoop)
• Experience with containerization (Docker, Kubernetes)
• Understanding of CI/CD pipelines
• Exposure to data orchestration tools like Airflow