Minimum Qualifications
Bachelor's / Master's degree in Computer Science or related field.
Minimum 4 years of professional experience in software development using Python, with a consistent track record in designing, developing, and maintaining RESTful APIs using frameworks like FastAPI, Django REST Framework, or Flask.
Proficient in data manipulation, analysis, and processing with libraries like Pandas, NumPy, and Polars, enabling efficient handling of large datasets and complex transformations.
Experience with distributed computing frameworks like PySpark, Celery, or Dask.
Experience with design patterns, enterprise architecture, software engineering principles, and modern Python development practices, including writing and performing comprehensive unit/integration tests for robust and maintainable web applications.
Bachelor's / Master's degree in Computer Science or related field.
Minimum 4 years of professional experience in software development using Python, with a consistent track record in designing, developing, and maintaining RESTful APIs using frameworks like FastAPI, Django REST Framework, or Flask.
Proficient in data manipulation, analysis, and processing with libraries like Pandas, NumPy, and Polars, enabling efficient handling of large datasets and complex transformations.
Experience with distributed computing frameworks like PySpark, Celery, or Dask.
Experience with design patterns, enterprise architecture, software engineering principles, and modern Python development practices, including writing and performing comprehensive unit/integration tests for robust and maintainable web applications.
Preferred Qualifications
Proficiency in cloud development and deployment using platforms such as AWS, Google Cloud Platform (GCP), etc., including services related to compute, storage, data processing, and managed database solutions.
Development experience with containerization and orchestration systems, specifically Docker and Kubernetes, for scalable deployment of applications and data pipelines.
Proficiency in cloud development and deployment using platforms such as AWS, Google Cloud Platform (GCP), etc., including services related to compute, storage, data processing, and managed database solutions.
Development experience with containerization and orchestration systems, specifically Docker and Kubernetes, for scalable deployment of applications and data pipelines.
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