Ernst & Young - Raleigh, NC
posted about 2 months ago
At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all. The exceptional EY experience. It's yours to build. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. The opportunity EY is seeking for Senior Data Engineer ingests, builds, and supports large-scale data architectures that serve multiple downstream systems and business users. This individual supports the Data Engineer Leads and partners with Visualization on data quality and troubleshooting needs. As a Senior Data Engineer, you will design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals. You will develop and maintain scalable data pipelines, build out new integrations using AWS native technologies to support continuing increases in data source, volume, and complexity. You will define data requirements, gather and mine large scale of structured and unstructured data, and validate data by running various data tools in the Big Data Environment. Additionally, you will support standardization, customization and ad hoc data analysis and develop the mechanisms to ingest, analyze, validate, normalize, and clean data. You will write unit/integration/performance test scripts and perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues. Implementing processes and systems to drive data reconciliation and monitor data quality will be crucial, ensuring production data is always accurate and available for key stakeholders, downstream systems, and business processes. You will lead the evaluation, implementation and deployment of emerging tools and processes for analytic data engineering to improve productivity. Furthermore, you will develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes. In this role, you will learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics, solving complex data problems to deliver insights that help achieve business objectives. You will partner with Business Analytics and Solution Architects to develop technical architectures for strategic enterprise projects and initiatives, coordinate with Data Scientists to understand data requirements, and design solutions that enable advanced analytics, machine learning, and predictive modelling. You will also support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value, collaborate with AI/ML engineers to create data products for analytics and data scientist team members to improve productivity, and advise, consult, mentor and coach other data and analytic professionals on data standards and practices, promoting the values of learning and growth. Fostering a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions will be key to your success in this role.