Senior Support Engineer, Product Data Quality & Resolution

Oracle

Confirmed live yesterday High trust

Quick summary

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

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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, joins the operational support team to investigate and resolve complex product-data issues that hinder hardware onboarding into data centers. This role involves performing technical triage, conducting root cause analysis, and collaborating with global manufacturing partners and cross-functional engineering teams to ensure high data quality. Day-to-day responsibilities include monitoring manufacturing data feeds, identifying discrepancies, and recommending systemic improvements for long-term resolution. The successful candidate will utilize SQL to query raw database records, interpret XML and JSON data, and use Python for data analysis and automation. Additionally, the role requires working with REST services and managing technical documentation within a follow-the-sun support model. Core competencies include an understanding of server and rack-level hardware, configuration, topology, and Product Bills of Materials to solve critical infrastructure hurdles.

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.
  • Collaborate with global manufacturing partners and engineering teams to ensure corrective actions are verified and measurable.
  • Recommend systemic improvements for processes and products to prevent the recurrence of technical issues.
  • Produce detailed investigation reports, technical documentation, and knowledge articles for internal use.
  • Manage a high volume of support tickets in a fast-paced, follow-the-sun operational environment.

What we're looking for

  • 3 to 5+ years of experience in technical support or related fields.
  • Ability to read, write, and speak English.
  • Experience writing SQL queries for technical investigation and data analysis.
  • Proficiency in Microsoft Excel for data analysis and reporting.
  • 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 and rack-level hardware, configuration, and topology.

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