Are you 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 …
Work you’ll do/Responsibilities
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.Develop quantitative models that used fuzzy/probabilistic algorithm-based features to efficiently derive “golden” records from the enterprise master datasets.Experience on implementation of data stewardship framework to determine optimized stewardship processes.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.Deploy models into production.The Team
Artificial Intelligence & Data Engineering
In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.
The Artificial Intelligence & Data Engineering team leverages the power of data, analytics, robotics, science, and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.
Artificial Intelligence & Data Engineering will work with our clients to:
Implement large-scale data ecosystems including data management, governance, and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms.Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions.Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise, and providing As-a-Service offerings for continuous insights and improvements.Qualifications Required
3+ years of experience in Informatica with development skills in ETL with IICS/IDQ3+ years of experience interfacing with ESB’s and different publish mechanism.3+ years of experience in configuring Entity base objects, Entity Types, Relationship base objects, Relationship Types and Profiles using Hierarchy tool.Bachelor’s degree, preferably in Computer Sciences, Information Technology, Computer Engineering, or related IT discipline; or equivalent experienceAbility to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve. Must live within a commutable distance to one of the following locations: Atlanta, GA; Charlotte, NC; Dallas, TX; Gilbert, AZ; Houston, TX; Lake Mary, FL; Mechanicsburg, PA; Philadelphia, PA.Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.Desired Qualifications:
In-depth knowledge and experience working with MDM solutions.Design and develop MDM solutions ensuring adherence to best practices and standards. Configure and manage MDM services, including data integration, quality, and governance components.Nice to have knowledge of Informatica MDM Hub, Data Director, provisioning tool, and Active VOS, and their functionalities for party entities; Experience in entity 360, Business entities and provisioning tools, data manager, hierarchy.Proficient configuring and building match merge rules, trust settings on MDM platform.Excellent verbal, written, and listening skills.Detail-oriented, organized, and strong on follow-throughStrong interpersonal skills including collaboration, facilitation, and negotiation.Experience in Agile methodologies and Jira a plusNeeds to be a fast learner and demonstrate ability to ramp up quickly on the tech stack.Technical Skills:
Informatica, MDM, Databricks, SQL, Amazon Web Services (AWS)
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
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