Python Data Engineer

Responsibilities include:
·        Work directly with Business domain experts and Data Scientists to develop high quality, reliable, scalable, machine learning systems
·        Design and implement frameworks and tools to streamline the machine learning process
·        Automate manual data collection and processing tasks to improve efficiency
·        Leverage software architecture and design patterns to develop fault tolerant microservices
·        Convert research-based machine learning models into production-ready software
·        Implement processes to ensure coding standards, code quality, documentation, and test coverage

Qualifications
The successful candidate will meet the following qualifications:
·        7+ years of programming experience in Python
·        Expertise in developing and maintaining data pipelines
·        Experience in testing, packaging, and deploying machine learning models
·        Experience in software engineering practices such as Design Principles and Patterns, Unit Testing, Refactoring, CI/CD, and version control
·        Expertise in Object-Oriented Design Principals and Functional Programming Principals
·        Experience with common Python Data Engineering packages including Pandas, Numpy, Pyarrow, Pytest, Scikit-Learn, and Boto3
·        Experience in storage technologies including SQL relational databases and Object Storage such as AWS S3
·        Experience in implementing distributed computing systems
·        Experience in designing modular, reusable software components
·        Experience in developing API endpoints and microservices
·        Knowledgeable of MLOps Principles
·        Knowledgeable of ML platform technologies including Apache Airflow, Kubernetes, Dask, Ray, and MLFlow