Data/Modeling Engineer (ML Data Engineer)

Required Skills & Experience
• Strong experience with AWS and ML engineering
• Proficiency in Python and MLflow
• Hands on expertise with Domino and SageMaker SDKs
• Experience with feature engineering and scalable data pipelines
• Knowledge of model validation, explainability, and bias/fairness tooling
• Familiarity with Git based workflows, version control, and MLOps practices
Focused on manipulating data in a software engineering capacity.

Some of that data might live in relational systems, but its increasingly moving towards NoSQL systems and data lakes.

Normalize databases and ascertain the structure of the data meets the requirements of the applications that are accessing the information.

Construct datasets that are easy to analyze and support company requirements.

Combine raw information from different sources to create consistent and machine-readable formats.

Skills:

This IT role requires a significant set of technical skills, including a deep knowledge of SQL, data modeling, and tools like Spark/Hive/Airflow.

 Education/Work Exprerience:

1) Bachelor degree in Computer Science, Information Systems or related field

2) Post-graduate degree desired

3) Professional certification(s) desired 15+ years relevant experience