Ernst & Young - Memphis, TN
posted about 1 month 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. EY is seeking a Senior Data Engineer who will be responsible for ingesting, building, and supporting large-scale data architectures that serve multiple downstream systems and business users. This individual will support the Data Engineer Leads and partner with Visualization on data quality and troubleshooting needs. The role involves designing, developing, optimizing, and maintaining data architecture and pipelines that adhere to ETL principles and business goals. The Senior Data Engineer will also develop and maintain scalable data pipelines, build out new integrations using AWS native technologies to support continuing increases in data source, volume, and complexity. In this position, 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. You will support standardization, customization, and ad hoc data analysis and develop the mechanisms to ingest, analyze, validate, normalize, and clean data. Additionally, 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. Developing and delivering communication and education plans on analytic data engineering capabilities, standards, and processes will also be part of your responsibilities. You will learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics, and solve complex data problems to deliver insights that help achieve business objectives. Implementing statistical data quality procedures on new data sources by applying rigorous iterative data analytics will be essential to your role.