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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 Strong expertise in Python programming . Hands-on experience with PySpark and large-scale data processing. Proven experience in Python API/backend development (FastAPI, REST/async). Proficiency in AWS cloud services : Glue, EMR, SageMaker, S3, Athena. Exposure to ML/MLOps workflows and production-level deployment. Solid knowledge of SQL/PostgreSQL and database query optimization. Familiarity with unit testing (pytest), Git, Docker, Kubernetes, Terraform . Strong problem-solving, production support, and communication skills. Work Environment Remote-friendly, with expectation of independent ownership and accountability. Timing: 2 PM - 11 PM IST ( 4 hours overlap with EST)
