As a Data Engineer , you will be responsible for leading the architecture, design and development of the data, metrics and reporting platform for Prime. You will architect and implement new and automated Business Intelligence solutions, including big data and new analytical capabilities that support our Development Engineers, Analysts and Retail business stakeholders with timely, actionable data, metrics and reports while satisfying scalability, reliability, accuracy, performance and budget goals and driving automation and operational efficiencies. You will partner with business leaders to drive strategy and prioritize projects and feature sets. You will also write and review business cases and drive the development process from design to release. In addition, you will provide technical leadership and mentoring for a team of highly capable Data Engineers.
§ Create and execute vision to develop a series of analytic dashboards and decision-support tools, encompassing key forecasting metrics to be tracked on a daily/weekly/monthly basis.
§ Create and execute strategy to incorporate big data solutions to enhance analytics and reporting capabilities.
§ Implement standardized, automated operational and quality control processes to deliver accurate and timely data and reporting to meet or exceed SLAs.
§ Manage the development Sprint process for the Prime Data Engineering team
§ Create a Data Governance strategy for mitigating disparate data sources where applicable.
§ Provide technical and thought leadership for Data Engineering and Business Intelligence within Prime.
§ Establish key relationships which span Amazon business units and Business Intelligence teams.
§ Assist business leaders in creating and implementing business requirement documents to drive projects, working backward from customer needs.
§ Communicate timely information to all stakeholders on current and future initiatives, prioritizing based on the organization’s needs.
· 3+ years of experience as a Data Engineer or in a similar role
· Experience with data modeling, data warehousing, and building ETL pipelines
· Experience in SQL
§ Experience with Big Data solutions – Hadoop or other framework § Experiences with Amazon Web Services tools such as Redshift and EMR or other similar platforms § Understanding of agile software development cycle § Experience working directly with remote technical teams § Experience in leading Data Engineers
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