Senior Support Engineer, Product Data Quality & Resolution

Oracle

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Hillsboro, ORNashville, TNAustin, TX
Posted
43 days ago
Freshness
Confirmed live 2 days ago

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Salary context

How this pay compares to similar roles

Similar $167k
$128k most similar roles pay here $206k

This listing doesn't post a salary. Most similar roles pay $135,225–$198,450.

Based on 240 similar postings.

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About Oracle

Oracle Corporation is a leading multinational technology company specializing in database software, cloud computing, and enterprise software.

Oracle currently has 781 open roles on FindRole.

Listed pay typically runs $102,300–$209,500 across 713 roles with salary data.

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At a glance

TL;DR · Senior Support Engineer, Product Data Quality & Resolution

Senior Support Engineer, Product Data Quality & Resolution serves as a technical point of contact within the operational support team to resolve complex product-data issues that hinder hardware onboarding into data centers. The role involves investigating root causes, performing technical triage, and collaborating with global manufacturing partners and cross-functional engineering teams to ensure data quality. Day-to-day responsibilities include monitoring manufacturing data feeds, conducting root cause analyses, and recommending systemic improvements for process enhancements. To succeed, the candidate must be proficient in writing SQL queries, interpreting XML and JSON data, utilizing REST services, and using Python for data analysis and automation. The role requires a deep understanding of product bills of materials, server and rack-level hardware configurations, and technical documentation to resolve critical operational incidents within a global follow-the-sun support model.

What you'll do

  • Investigate and resolve complex product-data issues that prevent hardware from being successfully onboarded into data centers.
  • Perform root cause analysis using SQL queries to examine raw database records and identify non-standard technical issues.
  • Interpret XML and JSON data to identify missing, incorrect, or improperly formatted product information.
  • Use Python and REST services to retrieve, validate, and transform product data for technical investigations.
  • Monitor daily manufacturing data feeds to identify quality issues and operational exceptions requiring immediate investigation.
  • Recommend systemic improvements and corrective actions to address underlying process flaws rather than just individual incidents.
  • Produce detailed investigation reports, technical documentation, and knowledge articles to improve team troubleshooting capabilities.

What we're looking for

  • Must have 3 to 5+ years of relevant experience.
  • Ability to read, write, and speak English.
  • Experience writing SQL queries for technical investigation and data analysis.
  • Proficiency in Microsoft Excel for data reporting and analysis.
  • Ability to read and interpret XML and JSON data formats.
  • Experience working with REST APIs and related data sources.
  • Basic Python programming skills for data analysis and automation.
  • Familiarity with server/rack-level hardware, configuration, topology, and Bills of Materials (BOMs).

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