Generative AI Data Engineer at Riverside
Posted
Summary
As a Generative AI Data Engineer at Riverside Natural Foods (maker of MadeGood snacks), you build foundational data architectures, ELT/ETL pipelines, and ML/AI-ready datasets while ensuring data quality and observability. Core stack: SQL, Python, SAP integration, and cloud/hybrid platforms.
Advance your career with Riverside Natural Foods as a Generative AI Engineer. Drive the integration of sophisticated data analytics for enhanced decision-making and product development.
In this role, you will build foundational data architectures that power analytics and machine learning applications. Your focus will be on ensuring data quality, live flows, and scalable solutions within Riverside’s innovative framework. As an advocate for effective data usage, you'll bridge the gap between technical requirements and business needs.
Key Responsibilities: • Develop ELT/ETL workflows for structured and unstructured data • Collaborate cross-functionally to align data strategies • Implement and maintain data quality rules • Monitor and resolve issues related to data observability • Produce datasets tailored for ML and AI projects
Requirements: • Bachelor’s degree in Computer Science, Engineering or similar • 5+ years of experience in relevant data roles • Strong SQL and Python programming skills • Hands-on with SAP integration and cloud technologies • Knowledge of cloud platforms and hybrid architectures
Transform how Riverside utilizes data, making a significant impact on our generational shift toward data-driven growth.
In this role, you will build foundational data architectures that power analytics and machine learning applications. Your focus will be on ensuring data quality, live flows, and scalable solutions within Riverside’s innovative framework. As an advocate for effective data usage, you'll bridge the gap between technical requirements and business needs.
Key Responsibilities: • Develop ELT/ETL workflows for structured and unstructured data • Collaborate cross-functionally to align data strategies • Implement and maintain data quality rules • Monitor and resolve issues related to data observability • Produce datasets tailored for ML and AI projects
Requirements: • Bachelor’s degree in Computer Science, Engineering or similar • 5+ years of experience in relevant data roles • Strong SQL and Python programming skills • Hands-on with SAP integration and cloud technologies • Knowledge of cloud platforms and hybrid architectures
Transform how Riverside utilizes data, making a significant impact on our generational shift toward data-driven growth.