Role & Responsibilities

• Work closely with leadership, product, and engineering, to design, architect, and implement new features
• Lead data engineering projects to ensure pipelines are reliable, efficient, testable, & maintainable
• Analyze and organize raw data
• Build the infrastructure required for the optimal extraction, transformation and loading of data from wide variety of data sources using node.js
• Identify, design and implement process and platform improvements
• Work closely with engineers to troubleshoot and resolve data quality issues
• Coordinate with backend developers and business stakeholders to improve and maintain data and business intelligence infrastructure
• Facilitate business intelligence initiatives by actively contributing to tasks such as creating and maintaining dashboards, executing ad-hoc data pulls, troubleshooting business Key Performance Indicators (KPIs), and more
• Pioneering new initiatives involving advanced modeling, specifically incorporating machine-learning algorithms to enhance sorting capabilities for our search results page

Requirements/Qualifications

• 3+ years of relevant working experience
• Good level skills writing and optimizing complex SQL queries
• Experience with Node.js, and PostgreSQL or roughly equivalent technologies
• Experience with data warehouse such as BigQuery and other GCP components
• Experience collaborating with BI teams and integrating advanced modeling techniques into backend processes
• Applied experience executing analysis, communicating results and developing metrics that matter
• Experience in advanced modeling, ideally some experience building ML systems
• Ability to communicate clearly in reports and documentation
• High level of attention to detail and accuracy in a fast-paced environment with multiple priorities
• Ability to work independently and collaboratively in a fast-paced environment