Senior Data Engineer

Data Pipeline Automation: Proficiency in creating and automating data pipelines to ensure frequent updates for dynamic datasets, particularly in the context of evolving industry landscapes. Experience in optimizing data compilation processes to enhance the frequency and efficiency of data refresh cycles. Model Dataset Management: Strong background in compiling and managing model datasets, with the ability to streamline processes for timely data refresh requests. Familiarity with generating model datasets using recent data to meet stakeholder requirements. Model Monitoring and Maintenance (good to have): Knowledge of model monitoring techniques to identify model drift and performance issues. Ability to set up monitoring systems for production models, ensuring ongoing performance tracking and reporting. Collaboration and Handoff: Experience in working with regional teams to transition model monitoring responsibilities, ensuring procedures are established for regular monitoring cadence. Attention to Detail: Strong data quality and cleanup skills to prepare datasets for analysis and monitoring, especially in high-priority projects.