Sr ETL/MDM Developer

at  Deloitte

Are an experienced, passionate pioneer in technology - a solutions builder, a roll-up-your-sleeves technologist who wants a daily collaborative environment, think-tank feel and share new ideas with your colleagues - without the extensive demands of travel? If so, consider an opportunity with our US Delivery Center - we are breaking the mold of a typical Delivery Center.
Our US Delivery Centers have been growing since 2014 with significant, continued growth on the horizon. Interested? Read more about our opportunity below …

• Understand data management techniques and the various implementation styles that are implemented industry wide.
• Perform data management activities especially focusing on customer, suppler, product, reference data and other data domains that consists of master data.
• Experience on an industry accredited tool that has been used on a medium to large scale master data implementation.
• Perform exploratory data analysis to define data models and solutioning involving master data.
• Develop advanced quantitative models that used fuzzy/probabilistic algorithm-based features that efficiently derives “golden” records from the enterprise master datasets.
• Experience on implementation of data stewardship framework involving participation on JAD sessions with the business stakeholders to determine optimized stewardship processes.
• Experience on establishing enterprise data governance that involves configuring metadata management solutions for a medium to large scale enterprise.
• Provide expertise for analytical, programmatic, strategic, and operational analysis.
• Perform technical risk analysis and reliability assessments.
• Perform multiple forms of advanced analyses, sustainment, optimization, text analytics, machine learning, parametric and non-parametric statistical models and techniques.
• Build, test, validate and demonstrate analytical models through various relevant error metrics and calibration techniques.
• Provide recommendations for plans, programs, strategies, policies and budgets.
• Design algorithms that require several different models/methods to be used in an ensemble.
• Deploy models into production.