Ernst & Young - Chicago, IL
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. 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 develop and maintain scalable data pipelines, build out new integrations using AWS native technologies to support continuing increases in data source, volume, and complexity. They 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. The role also includes supporting standardization, customization, and ad hoc data analysis, as well as developing mechanisms to ingest, analyze, validate, normalize, and clean data. Additionally, the Senior Data Engineer will write unit/integration/performance test scripts and perform data analysis required to troubleshoot data-related issues, assisting in the resolution of these issues. They will implement processes and systems to drive data reconciliation and monitor data quality, ensuring production data is always accurate and available for key stakeholders, downstream systems, and business processes. The role requires leading the evaluation, implementation, and deployment of emerging tools and processes for analytic data engineering to improve productivity, as well as developing and delivering communication and education plans on analytic data engineering capabilities, standards, and processes. The position also involves solving complex data problems to deliver insights that help achieve business objectives and implementing statistical data quality procedures on new data sources by applying rigorous iterative data analytics. The ideal candidate 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 modeling.