Data Engineer - Industrials & Energy Sector - Manager - Consulting - Location Open

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US Consulting - AI & Data - Data Engineer, Industrials & Energy Sector – Manager 

 

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. 

 

Your key responsibilities 

• Design, develop, optimize, and maintain data architecture and pipelines that adheres to ETL principles and business goals 

• Develop and maintain scalable data pipelines, build out new integrations using AWS native technologies to support continuing increases in data source, volume, and complexity 

• 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 

• Support standardization, customization and ad hoc data analysis and develop the mechanisms to ingest, analyze, validate, normalize, and clean data 

• Write unit/integration/performance test scripts and perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues 

• 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 

• Lead the evaluation, implementation and deployment of emerging tools and processes for analytic data engineering to improve productivity 

• Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes 

• Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics 

• Solve complex data problems to deliver insights that help achieve business objectives 

• Implement statistical data quality procedures on new data sources by applying rigorous iterative data analytics 

 

Skills and attributes for success 

• 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 

• 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 

• Advise, consult, mentor and coach other data and analytic professionals on data standards and practices, promoting the values of learning and growth 

• Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions 

 

To qualify for the role you must have 

• Bachelor’s degree in Engineering, Computer Science, Data Science, or related field 

• 5+ years of experience in software development, data science, data engineering, ETL, and analytics reporting developme