Senior Support Engineer, Product Data Quality & Resolution

Oracle

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Nashville, TN
Posted
3 days ago
Freshness
Confirmed live yesterday

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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

The 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. This role involves investigating root causes, performing technical triage, and collaborating with global manufacturing partners, Product Engineering, and Data Centre Operations to ensure high-quality data. Day-to-day responsibilities include monitoring manufacturing data feeds, conducting root cause analyses, and recommending systemic improvements for process optimization. The position requires proficiency in SQL for database queries, Python for data analysis and automation, and the ability to interpret XML and JSON formats while utilizing REST services. Candidates must also possess skills in Microsoft Excel and a solid understanding of product Bills of Materials, server and rack-level hardware configurations, and complex component relationships within a global environment.

What you'll do

  • Investigate and resolve complex product-data issues that prevent hardware from being onboarded into data centers.
  • Perform root cause analysis using SQL queries, Python scripts, and the inspection of XML/JSON data.
  • Monitor daily manufacturing data feeds to identify and triage quality issues or operational exceptions.
  • Partner with global manufacturing partners and engineering teams to ensure corrective actions are measurable and verified.
  • Recommend systemic improvements for processes and products based on investigation findings.
  • Produce technical documentation, root cause reports, and knowledge articles to improve operational efficiency.
  • Manage a high volume of support tickets in a fast-paced, follow-the-sun global environment.

What we're looking for

  • Applicants must be able to read, write, and speak English.
  • Candidates must have 3 to 5+ years of experience in the field.
  • Experience writing SQL queries for technical investigation and data analysis is required.
  • Ability to read and interpret XML and JSON data is required.
  • Basic Python programming skills for data analysis and automation are required.
  • Experience working with REST APIs and related data sources is required.
  • Strong Microsoft Excel skills for data analysis and reporting are required.
  • Familiarity with server/rack-level hardware, configuration, topology, and Bills of Materials (BOMs) is required.

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