Python API + Data Engineer

Experience : 5 to 8 years

Job description : Python API + Data Engineer

We are looking for a self-motivated Python Data Engineer with strong skills in backend / API development and large-scale data processing , who can work independently and thrive in a fast-paced, agile environment.

Key Responsibilities

• Design, develop, and optimize data pipelines using PySpark, AWS Glue, and EMR .
• Build and maintain Python backend / API services (FastAPI, async preferred).
• Support ML / MLOps workflows leveraging AWS SageMaker and other cloud-native tools.
• Write clean, testable, and scalable code with unit testing (pytest) and CI / CD practices.
• Work with AWS services (S3, Athena, Glue, EMR, SageMaker) for data engineering and model deployment.
• Collaborate cross-functionally to provide production support, troubleshooting, and performance optimization .
• Use modern DevOps tools (Git, Docker, Kubernetes, Terraform) to automate deployments and ensure reliability.
• Communicate effectively with global teams and adapt quickly to changing requirements.

Required Skills & Experience

Work Environment