ML and Data Engineer

XE is looking for an experienced ML & Data Engineer to join the XE Data Science team.

If you are easily excited by raw data and the boundless potential to transform it into useful shapes and forms, this is your dream job. Couple that with a best-in-class cloud data architecture, and you are really off to the races. You will be supporting a data ecosystem that is fueled by 280 million annual visitors to our web and app properties. Combine this with an enterprise-grade events-based Martech stack and the opportunities really are limitless. This role will give you the unbridled freedom to explore your data passions to connect disparate data sources together to create meaningful business insights and drive rapid product improvement and growth. If you're also an API guru, then we want you...now.

Please note until office restrictions are relaxed, you will be working remotely. Responsibilities:

• Develop and maintain data-serving performant API services
• Design, develop, and maintain microservices for real-time data ingestion and ETL pipelines
• Analyze and organize raw data across Xe's Martech stack

• Develop and Maintain data lakes
• Collaborate with data scientists and architects on several projects
• Ensure all components are highly scalable, maintainable and monitored
• Optimize cloud services for security, cost and performance

Requirements

• Degree in Computer Science, Software Engineering, or related discipline

• Strong knowledge of developing and maintaining API services in a cloud environment
• Strong OO and SO programming skills in Python to write effective, scalable codes.
• Knowledge of modern containerization techniques - Docker, Docker Compose
• A strong interest in data and the insights it can provide to better serve our customers
• Experience with relational and unstructured databases and data lakes

• An understanding of business goals and how data policies can affect them
• Strong communication and collaboration skills
• A strong understanding of the concepts associated with privacy and data security