Master Data Engineer

Posted 19 weeks ago

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Catalogue and standardise industrial item-master data to our published taxonomy and cataloguing SOP.

You work independently on the bulk of items — applying noun-modifier classification, populating attribute schemas, resolving routine ambiguity using the reference store, and delivering clean masters that pass the MDM loader contract. You exercise judgement on day-to-day calls, escalate only genuinely hard or conflicting cases to the Lead, and feed every reusable resolution back into the knowledge base.

Job Description

  • Classify and standardise industrial spares (mechanical, electrical, instrumentation) using the noun-modifier taxonomy and attribute schemas — working independently, not item-by-item supervised.
  • Populate and normalise attributes (size, material, rating, manufacturer, part number) per the cataloguing SOP; apply prefix-safe matching rules for OEM part numbers.
  • Resolve routine ambiguity using synonyms, cross-references, and rules from the reference store; escalate only multi-noun, conflicting, or unresolvable items to the Lead.
  • Self-QA every batch against the MDM loader contract before handover — aim for zero validator blockers; fix your own rejects.
  • Capture new synonyms, cross-references, and resolutions back into the reference store so repeat items get faster.
  • Meet agreed accuracy and throughput standards; flag systemic data issues (recurring bad source patterns, taxonomy gaps) to the Lead rather than silently working around them.
  • Use the LLM-assisted workflow as a first pass, then verify and correct — you own the output, not the tool.

Skills

Candidate Profile

  • 5 years in MRO / industrial / EAM master data, MDM, or cataloguing roles — or strong adjacent experience (spares procurement, store/inventory data, ERP material master entry).
  • Working knowledge of mechanical, electrical, and instrumentation spares and common OEM part-number conventions.
  • Hands-on with noun-modifier cataloguing and controlled vocabularies (UNSPSC, eCl@ss, or equivalent) — or demonstrable ability to learn and apply a defined taxonomy quickly.
  • Advanced spreadsheet skills (lookups, dedupe, text functions); comfortable with data-cleaning tools and AI-assisted classification.
  • Strong attention to detail and the discipline to follow an SOP exactly — and to know when a case is outside it and needs escalating.
  • Ability to work independently to a standard and a deadline without close supervision.
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Job Summary

https://www.excelsource.co.in Website
Vadodara Location
Full Time Permanent Job type
4 - 6 years Experience
1 Openings

Contact

Excel House", Block 2, 5th and 6th Floor, 5th and 6th Floor, Excel House, Block 2, 73 East Avenue Corporate, Bhailal Amin Marg, Near Genda Circle, Sarabhai Campus,Vadodara, Gujarat, India
Email: ana@excelsource.co.in

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