ML Engineer

Role Name: ML Engineer
Work site: Brampton, CA (Onsite

Required Skills- Azure data factory, Azure data bricks, Azure Machine Learning, PySpark, SQL, Python

PB, AWS, SF, DEVOPS, Azure Security

Role Description:

- Create and maintain optimal data pipeline architecture using ADF.
- Able to create ETL through Azure data bricks and good understating of spark framework.
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Azure 'big data' technologies.
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
- Work with data and analytics experts to strive for greater functionality in our data systems.