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Tech Stack
Tools & technologiesCloudJ2EEJavaOracleSQL
About the role
Key responsibilities & impact- Serve as L2/L3 support and senior escalation point for customer-reported data, integration, and application issues, ensuring compliance with SLA and service quality standards.
- Perform data-centric root cause analysis across raw data, parsers, application layers, and databases to resolve production incidents.
- Write and optimize complex SQL queries to analyze issues, validate data, perform corrections, and support customer requests.
- Troubleshoot and resolve issues related to data loads, exports, file processing, hierarchies, matching, and integrations.
- Support customer-specific configurations, data mappings, and custom business rules, particularly for High Tech / Semiconductor workflows.
- Assist with data fixes, reprocessing, reloads, and data migration activities in partnership with Engineering and Functional SMEs.
- Monitor system health, batch jobs, and data pipelines to proactively identify risks and prevent customer impact.
- Support new releases and feature rollouts through data validation, regression testing, and deployment support.
- Interface closely with Engineering, QA, Product, APM, CSM, and Infrastructure teams to drive timely and accurate issue resolution.
- Guide and mentor junior consultants on SQL, data troubleshooting, and support best practices.
- Create and maintain operational documentation, SOPs, data troubleshooting guides, and runbooks.
- Participate in post-incident reviews and continuous improvement initiatives focused on data quality, stability, and scalability.
Requirements
What you’ll need- Bachelor’s degree or equivalent experience in Computer Science, Engineering, or a related discipline.
- 4+ years of experience in enterprise application support, customer support or data operations roles.
- Strong expertise in SQL and Relational DBs (Oracle preferred) for troubleshooting and data analysis.
- Working knowledge of Java/J2EE applications for logs review and basic debugging (not core development).
- Hands-on experience working in data processing environments (files, feeds, integrations, batch jobs).
- Experience supporting customer-facing production systems, including incident management and escalations.
- Good understanding of High-Tech/Semiconductor industry concepts, such as product hierarchies, pricing, channel data, revenue process etc.. data flows.
- Ability to analyse issues across raw data, application logic, and database layers.
- Strong analytical, communication, documentation, and customer-facing skills.
- Ability to multitask and operate effectively in a fast-paced, global support environment.
- Additional skills: Exposure to ITIL-based processes (Incident, Problem, Change Management).
- Experience with ticketing systems (e.g., Service Cloud, Jira or Zendesk) and monitoring tools.
- Familiarity with release management, deployments, and regression testing.
Benefits
Comp & perks- Willing to work in rotational shifts and weekends.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLRelational DBsJavadata processingdata analysisroot cause analysisdata migrationdata validationregression testingincident management
Soft Skills
analytical skillscommunication skillsdocumentation skillscustomer-facing skillsmultitaskingmentoringproblem-solvingcollaborationtime managementcontinuous improvement