About Ferguson:

Since 1953, Ferguson has been a source of quality supplies for a variety of industries. Together We Build Better infrastructure, better homes and better businesses. We exist to make our customers’ complex projects simple, successful, and sustainable. We proactively solve problems, adapt and grow to continuously serve our customers, communities and each other. Ferguson is proud to provide best-in-class products, service and capabilities across the following industries: Commercial/Mechanical, Facilities Supply, Fire and Fabrication, HVAC, Industrial, Residential Trade, Residential Building and Remodel, Waterworks and Residential Digital Commerce. Ferguson has approximately 36,000 associates across 1,700 locations. Ferguson is a community of proud associates who operate with the shared purpose of building something meaningful. You will build a career that you are proud of, at a company you can believe in.

Duties and Responsibilities:

• Work with Users, and Business Analysts to understand and translate functional requirements to technical design.
• Analysis and resolution of sophisticated data relationships and data cleansing/profiling scenarios.
• Hands-on configuration of hierarchies, entity types, attributes, relationships, and crosswalks in SITBO Systems MDM/PIM.
• Solid understanding of high-level enterprise architecture patterns for data ingesting, storing, processing, and publishing
• Experience configuring Out-of-the-box and Custom Cleanse Functions within an MDM.
• Experience configuring External matches, and their usage to profile the incoming data for new sources.
• Configuration and usage of advanced queries, Workflow management, User Management, and UI Config. Experience with LCA configuration for customizations.
• Strategic problem solving and leading the engineering of an MDM project.
• within Azure and AWS ecosystems.
• Work with project management to develop the overall implementation solution, roadmap and plan.

Qualifications:

• Bachelor’s degree in computer science, information systems or equivalent work experience.
• Experience in data management, engineering, and/or software development.
• Knowledge of data hierarchies, entity types, attributes, relationships, and crosswalks.
• Knowledge of query tuning, performance tuning, troubleshooting, and debugging data solutions.
• Prior experience in a master data analysis, management, integration, or implementation for wholesale / distributor industry is a plus.
• Solid understanding of environment management, release management, code versioning, and deployment methodologies.
• Knowledge of, experience in and / or development in one of these is a preferred. (Java, JavaScript, C, C++, SQL, Python, Node.js, Azure, XML, JSON, Git, Linux)
• Experience in supporting integrations using standard connectors, publish-subscribe, and other mechanisms (Azure, Oracle, Salesforce CRM, STEP PIM/MDM solutions).
• An understanding of Azure cloud methodology and resources including SQL Data Warehouse, Blobs / Containers, Data Lake, Azure Data Factory.
• Familiarity with platform authentication patterns (SAML, SSO, OAuth).
• Analytical and problem-solving approach with effective communication skills.
• Ability to operate in a team setting as well as work independently with minimal guidance.
• Agile / Scrum Experience