Job Description
Design, implement, and oversee our AWS-based data infrastructure, ensuring it strikes the right balance between performance, scalability, and cost-efficiency. Engage and collaborate with cross-functional teams including data science, field engineering, and computer vision groups to ensure the infrastructure is tailored to their varying requirements. Champion the development and maintenance of ETL processes, leveraging tools like Amazon Glue, SQS, and Lambda functions. Strategize and implement optimal data storage solutions, leveraging Amazon S3, PostgreSQL, Redshift, and AWS RDS. Build and support underwriting, pricing, and risk management tools using analytics platforms like Google Data Studio, AWS QuickSight, and Tableau. Automate and streamline data processes to pinpoint the sweet spot between performance and cost, ensuring timely and precise delivery of data analytics.
About CompScience
CompScience is a high-growth startup on a mission to prevent 1 million workplace injuries through bold technological innovations.