Python + SQL (Flask, Airblow, Datadog)

Achieve 100% Coverage Of Redpen (the Internal Labeling Platform That Allows Internal Users To Manage And Perform Data Labeling Tasks) And LabelBox (a Vendor Solution For Providing Labeling Workforce) Integration (including On-call Rotations, Migrations And Customer Support), With Less Than 10% Supervision From One FTE. Example Projects/tasks AreRefactor Redpen backend by consolidating uploader classes into a single, efficient class.Update API endpoints to be resource-based, ensuring efficient and scalable data handling.Manage and optimize LabelBox integration, switching to LabelBox’s new approach to custom UIs.Discover, track, and communicate with LabelBox about bugs and issues, providing detailed reports and follow-up.Communicate with internal clients/stakeholders to gather feedback on LabelBox pain points and missing features.Maintain Redpen service SLAs, ensuring high availability and performance.Monitor, update, and extend internal Datadog dashboards and alerts to account for any new issues or changes.Extend existing Airflow DAG to export labeling data in various formats, ensuring compatibility and data integrity.Write, and maintain unit/integration tests, maintain system stability. Required SkillsLanguagesPython: Advanced proficiency, with experience in writing clean, maintainable, and efficient code.SQL/Presto: Strong knowledge of database querying and optimization.Bash: Proficient in writing scripts for automation and system management.Tech StackFlask or equivalent: Experience in developing and maintaining web applications using Flask.Airflow or equivalent: Proficiency in creating and managing workflows using Apache Airflow.Datadog/Pagerduty or equivalent: Experience in setting up and managing monitoring and alerting systems.