Senior Python Developer

Key Responsibilities

• Design, develop, and optimize scalable data pipelines using Python and PySpark.
• Build and deploy machine learning models and MLOps components using AWS SageMaker.
• Design and build backend services and APIs using Flask or FastAPI frameworks.
• Work on large-scale data processing solutions leveraging AWS EMR.
• Implement and manage search and analytics solutions using AWS OpenSearch.
• Collaborate with geographically distributed teams to understand requirements and deliver solutions.
• Participate in architecture design, code reviews, and on-call rotations for production support.
• Troubleshoot and resolve performance, scalability, and operational issues.
• Integrate CI/CD pipelines and follow DevOps best practices.
  

PrPrimary Skills

• 5-9 years of hands-on experience in Python programming.
• Strong experience with Flask or FastAPI, PySpark, and boto3.
• Proven experience with AWS services - EMR, SageMaker, OpenSearch, ECS/EKS.
• Experience with concurrent programming (AsyncIO, multithreading).
• Strong understanding of distributed computing and data processing frameworks.
• Familiarity with WSGI/ASGI web servers (Gunicorn, Uvicorn).
• Experience with CI/CD pipelines and version control tools.
• Excellent problem-solving, analytical, and communication skills.
• Strong academic foundation in Computer Science, Engineering, or related field.
  

SeSecondary Skills

• Experience with Apache Kafka and Kafka client development in Python.
• Knowledge of MLOps tools such as Kubeflow, MLflow, or AWS SageMaker Pipelines.
• Exposure to big data frameworks like Apache Spark.
• Experience with containerization and orchestration tools (Docker, ECS, EKS).
• Familiarity with Infrastructure as Code (IaC) tools like Terraform, Jenkins, or CloudFormation.
• Experience with data lake architectures, data governance, and Python packaging (Wheel, PEX, Conda).