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Platform Solutions & Operations (PSO) Specialist - Trace Focus

Nagarro

New Remote
Remote Mid 🇬🇧 English
SQL Databricks Data validation Root cause analysis ETL

Job description

About the role

Nagarro is hiring a Platform Solutions & Operations (PSO) Specialist (Trace Focus) on a full-time, remote basis. The specialist investigates and resolves complex data-related issues through detailed log analysis, data validation and reconciliation within Databricks, acting as the main technical link between Customer Success and Engineering teams.

Key responsibilities

  • Act as the primary technical liaison between Customer Success and Engineering to speed up resolution of complex data issues.
  • Run the Trace protocol with detailed log-level investigations and data validation in Databricks.
  • Analyze and reconcile data discrepancies across media platforms, DSPs and internal systems.
  • Validate client configurations, integrations and platform setups, and run engineering runbooks to trigger reprocessing, synchronization and recovery.
  • Perform root cause analysis of data anomalies and create detailed defect packages with logs, analysis results and reproduction steps.
  • Triage and classify issues so they reach the right engineering teams, and support incident investigations and post-mortems.
  • Improve TTR by working with Engineering, Product and Customer Success, and build and maintain troubleshooting documentation and knowledge base articles.
  • Spot recurring data quality issues and recommend process improvements and automation.

Required profile

  • Strong SQL skills to query, analyze, validate and reconcile complex datasets.
  • Hands-on Databricks experience for data investigation and troubleshooting.
  • Understanding of data warehousing, data flows and ETL processes.
  • Ability to write clear, evidence-based defect reports and to follow runbooks and escalate issues.
  • Good communication and documentation skills, with attention to data accuracy.

What we offer

  • Remote work.
  • Full-time position.

Good to have: data warehouse design experience, familiarity with ETL and pipeline monitoring, experience with data reprocessing or production incident troubleshooting, and exposure to media platforms or DSPs.

Questions fréquentes

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Source : ats:smartrecruiters

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Published 10 hours ago

Expires 1 month from now

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Nagarro