AWS Quick AI / BI Engineer

•

Role:

AWS Quick AI / Business Intelligence Engineer •

Experience Required:

3+ Years •

Work Mode:

Remote

Company Description RUH is an innovative end-to-end automation platform designed to transform workflows into highly efficient digital employees. By integrating seamlessly with existing systems, RUH applies policies, automates multi-step tasks with built-in guardrails, and maintains a detailed audit trail for fast, compliant operations. RUH empowers businesses to operate consistently and efficiently, offering digital solutions that work tirelessly. Our first digital employee, AI SDR, is a 24/7 team member specializing in defining ICPs, sourcing and qualifying leads, personalizing outreach, warming domains, and booking meetings.

Role Description This is a full-time remote role for an AWS Quick AI/BI Engineer. In this role, you will be responsible for building, managing, and optimizing data pipelines, designing and implementing data models and warehouses, and developing intuitive dashboards and analytics solutions. You will work collaboratively with cross-functional teams to extract insights, support decision-making, and ensure that data infrastructure aligns with business objectives.

Qualifications Strong Analytical Skills to drive actionable insights and support data-driven decisions. Experience in Data Modeling and Data Warehousing to design scalable, efficient, and robust data architectures. Proficiency in Extract Transform Load (ETL) processes for effective data integration and management. Ability to create and maintain Dashboards for real-time data visualization and reporting. Working knowledge of AWS and other cloud-based data tools is highly desirable. Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field; equivalent work experience may be considered. Proficiency in programming languages such as Python or SQL is a plus. Demonstrated ability to work independently in a remote setting and collaborate effectively with remote teams.

Interested candidates can apply through our website: https://www.ruh.ai/career