Job Summary
** Must have experience with SAP MDG Testing**
Join a multinational organization as a Developer specializing in SAP Data Services SAP Master Data Governance and advanced ABAP delivering robust data and master data solutions for supply chain and consumer goods clients. Contribute to high quality implementations in a hybrid work model collaborating across teams to improve data reliability operational efficiency and business outcomes.
Responsibilities
- Design and implement SAP Data Services jobs that ensure accurate extraction transformation and loading of supply chain data for consumer goods operations
- Configure SAP Master Data Governance processes to manage product customer and supplier master data with high consistency and alignment to business rules
- Develop advanced ABAP enhancements and custom objects within SAP MDG to extend standard capabilities and address complex data governance requirements
- Collaborate with supply chain management stakeholders to translate planning procurement and distribution needs into scalable SAP data and MDG solutions
- Optimize data quality by defining validation rules cleansing strategies and error handling mechanisms that reduce defects and rework in downstream applications
- Coordinate with functional and technical teams to integrate SAP MDG and SAP Data Services with core ERP and related supply chain systems in a hybrid work model
- Analyze production incidents related to master data and data flows identify root causes and implement corrective and preventive measures with clear documentation
- Perform impact analysis for change requests in SAP MDG and data services ensuring that modifications support business priorities without disrupting critical processes
- Prepare detailed technical specifications configuration documents and test evidence that support maintainable and auditable SAP data and MDG implementations
- Conduct unit testing integration testing and user validation cycles to ensure stable release of enhancements and projects during regular day shifts
- Guide peers and project participants on SAP MDG data modeling workflow concepts and data migration practices to promote consistent delivery quality
- Support supply chain and consumer goods clients by providing timely responses to queries and by fine tuning data processes that improve service levels and fill rate performance
- Contribute to continuous improvement initiatives that enhance data governance maturity reduce manual handling and support the company purpose of delivering reliable products to society
Qualifications
- Demonstrate hands on experience of at least five years in SAP Data Services covering design development optimization and support of complex data integration scenarios
- Show proven expertise in SAP MDG functional configuration including data models process models business rules and user interfaces for materials customers and vendors
- Apply strong advanced ABAP skills in the MDG context using frameworks enhancements and object oriented concepts to implement robust and reusable components
- Bring domain experience in supply chain management and supply chain for consumer goods including planning procurement logistics and master data concepts
- Communicate clearly with cross functional teams in a hybrid work model showing the ability to gather requirements validate assumptions and manage expectations
- Exhibit strong analytical and problem solving skills with a structured approach to debugging performance tuning and impact assessment across SAP landscapes
- Display familiarity with standard software development practices including version control code review documentation and adherence to organizational quality standards
What we offer
- The chance to work with impact. Here, you’re empowered to bring your biggest thinking to help our company and clients improve everyday life.
- Ownership over your career. Stay at the top of your game through our award-winning learning and development ecosystem. And when your ambitions change or we offer new opportunities, we help you pivot by providing reskilling, on-the-job learning and guidance to find new roles that might be a better fit.
- The opportunity to thrive on a high caliber team with heart. We celebrate each other’s experiences and perspectives and promote a sense of belonging through our affinity groups and diversity and inclusion initiatives.
- A comprehensive total rewards package, including a competitive salary and a pension plan with matching contributions.
- Flexible health and financial benefits to support you and your eligible dependents—from day one.
- True work-life balance. Be at your best through paid time off, flexible work arrangements, volunteering opportunities, social events, and so much more.
About us
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, building the bridge between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, realize tangible returns and keep global enterprises ahead in a fast-changing world. See how at www.cognizant.com or @cognizant.
Other employment-related information
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, provincial or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] with your request and contact information.
Language requirements vary depending on roles, but we ask that all candidates have basic English proficiency for company-wide communications purposes. For roles based in Quebec, professional English proficiency is required, as you’ll deliver services to and collaborate with stakeholders outside the province who may not speak French.










