Python Data Engineer

Job Details

Responsibilities:

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