Responsibilities
• Develop back-end components to improve responsiveness and overall performance
• Develop, test and maintain architectures, such as databases and large-scale processing systems using high-performance data pipeline.
• Recommend and implement ways to improve data reliability, efficiency, and quality.
• Identify performant features and make them universally accessible to our teams across EE.
• Work together with data analysts and data scientists to wrangle the data and provide quality datasets and insights to business-critical decisions.
• Take end-to-end responsibility for the development, quality, testing, and production readiness of the services you build.
• Define and evangelize Data Engineering best standards and practices to ensure engineering excellence at every stage of development cycle.
• Act as a resident expert for data engineering, feature engineering, exploratory data analysis.
• Coordinate with internal teams to understand user requirements and provide technical solutions