Responsible for formulating, executing, and optimizing the operation and maintenance management system, as well as the operation and maintenance construction, changes, and operational plans for this field;
Responsible for identifying risks related to the infrastructure in this field, developing improvement plans, and ensuring their execution and implementation;
Responsible for the technical review and optimization recommendations for drawings in this field, as well as coordinating with other disciplines such as architecture, structure, and decoration;
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Monitor and manage the safety and compliance of external personnel (vendors/contractors) during on-site construction or maintenance.
Assist in compiling and updating documentation, daily operation logs, and weekly maintenance reports.
n this role, you will gain hands-on experience in a fast-paced Internet Data Center (IDC) environment. You will work closely with on-site maintenance engineers, server experts, and network engineers to support daily operations, monitor data center health, and assist in executing standard technical workflows.
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Architect and create SQL views and queries to support data models, reporting layers, and downstream analytics.
Read, interpret, and refactor complex data pipelines to improve performance, readability, and maintainability across existing data infrastructure.
Maintain and improve Python data pipeline scripts that extract, transform, and load data between SAP, Salesforce, ServiceMax, SFTP, Email, and MES systems, ensuring reliability and performance.
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Read, interpret, and refactor complex data pipelines to improve performance, readability, and maintainability across existing data infrastructure.
Maintain and improve Python data pipeline scripts that extract, transform, and load data between SAP, Salesforce, ServiceMax, SFTP, Email, and MES systems, ensuring reliability and performance.
Build and publish new Power BI reports and dashboards from initial requirements through final delivery, including data modeling, DAX measures, and visual design.
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Read, interpret, and refactor complex data pipelines to improve performance, readability, and maintainability across existing data infrastructure.
Maintain and improve Python data pipeline scripts that extract, transform, and load data between SAP, Salesforce, ServiceMax, SFTP, Email, and MES systems, ensuring reliability and performance.
Build and publish new Power BI reports and dashboards from initial requirements through final delivery, including data modeling, DAX measures, and visual design.
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Experience: Minimum 3–5 years of hands-on experience in Data Center Facilities Operations, critical electrical/mechanical systems, preventive maintenance, T&C, project delivery, vendor management, and mission-critical infrastructure, with proven leadership experience.
Develop and maintain end-to-end(Substrate-Media-HDD) analytics pipelines - from data extraction and preparation through model training, validation, and production deployment.
Create self-serve data dashboards and automated reports using Spotfire to support real-time Cpk, Yield, and SPC monitoring for the manufacturing line.
Support AI-driven root cause analysis for quality excursions, reducing manual investigation cycle time.
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