10Beauty

Infrastructure Engineer

• Design, build, and maintain scalable ETL/ELT pipelines that ingest and process large volumes of operational and machine-generated data
• Architect and manage the company’s data warehouse and overall data infrastructure strategy
• Develop reliable systems for data collection, transformation, storage, and retrieval
• Create scalable data models that support analytics, business intelligence, operational monitoring, and future machine learning applications
• Partner closely with software, robotics, product, and operations teams to define data requirements and improve data accessibility
• Implement data quality, governance, observability, and monitoring processes to ensure data integrity and reliability
• Optimize database and warehouse performance, scalability, and cost efficiency
• Build tools and infrastructure to support reporting, dashboards, and internal analytics workflows
• Help establish best practices around data architecture, pipeline reliability, documentation, and engineering standards
• Support future real-time and streaming data initiatives across connected robotic systems

Senior Data Infrastructure Engineer