Job Description

• 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 the development cycle.
• Act as a resident expert for data engineering, feature engineering, exploratory data analysis.
• Experience in developing data pipelines for large-scale, complex datasets from varieties of data sources.
• Data Engineering expertise with strong experience working with Python, Beautiful Soup, Web Scraping.
• Knowledge with Cloud-based data technologies such as Azure Data Lake, Azure Data Factory, Azure Data Bricks is optionally desirable.
• Moderate coding skills. SQL or similar required. C# or other languages strongly preferred.
• Outstanding communication and collaboration skills. You can learn from and teach others.
• Strong drive for results. You have a proven record of shepherding experiments to create successful shipping products/services.