Data Operations Engineer

Key Responsibilities

• Own data quality across existing data pipelines, developing an end-to-end quality framework for outages, freshness, and accuracy.
• Collaborate with Product Catalog, Supply Chain, and Marketing teams to validate and classify data effectively.
• Work with Product teams leveraging core technology platforms including Direct Commerce, Supply Chain, Marketing Automation, Mobile, and Data to continuously improve data quality.
• Enable development of data quality frameworks in collaboration with engineers, validate requirements/stories, and assess current capabilities.
• Partner with software engineering teams building frameworks on MonteCarlo, Great Expectations, and Sentry to quickly deliver business value.
• Implement new tools and practices to enhance data and code quality, including researching third-party tools or developing in-house solutions to improve workflows for data engineers and operations teams.
• Analyze large datasets using Python and SQL to identify data inconsistencies and develop automated checks.