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| Job Location | Pondicherry |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | Engineering / Construction |
| Functional Area | General / Other Software |
| EmploymentType | Full-time |
Description:If you desire to be part of something special, to be part of a winning team, to be part of a fun team winning is fun. We are looking forward to Senior Engineer Data management based in Pondicherry, India. In Eaton, making our work exciting, engaging, meaningful; ensuring safety, health, wellness; and being a model of inclusion & diversity are already embedded in who we are - it s in our values, part of our vision, and our clearly defined aspirational goals. This exciting role offers opportunity to:Support the creation of a new Product master database (Product Data Hub / Front End initiative 4) Create new items in the system (ERP, PIM) as per a documented process Maintain the Product Data attributes during the Product Data Lifecycle Use data quality tools to analyze the data for quality or harmonization purposes Run detailed master data reports and support the product data analytics specialist in generating the monthly score card (metrics) Support data maintenance for item phase out process Migrate items to different ERP systems to enable sales synergy across systems Improve the data life cycle processes with the support of the central MDM team Send updates to local organizations with non-integrated stand-alone ERP systems Govern interface reports from master data interfaces Execute the PIM evaluation in PIM systems according to the instructions received from divisional product management Trigger action according to the result of the PIM evaluation, in particular for data maintenance according to the ETIM classification standard Supply Excel spreadsheets or similar support to enable the subject matter experts in the product lines to assign the items to ETIM classes and to select feature values inside the ETIM classes. Enable the transfer from paper catalogs to data-base driven technical data publication by data-basing paper catalog content Implement the structures in the PIM databases after validation by the subject matter experts Create feature compilations for new tree structure branches Maintain item attributes in existing and newly created structure branches In alignment with divisional data stewards, flag attributes with the aim to support automated publication processes (data sheets, online catalogs, paper catalogs, segment focus, etc.) Define in alignment with subject matter experts text creation rules on the basis of attributes populated before Support the divisions both in the data maintenance process for new products as well as in backlog resolution projectsQualificationsRequirement:
Keyskills :
siteinspectiontroubleshootingsubject matter expertsfront endlife cycleerp systemsolid worksmaster datadata qualityquality toolsdata analytics