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Schneider Electric

Global energy management and automation provider

GSC Data Transformation & Automation Engineer

Data Management +1Confirmed live in the last 24 hours
Full-timeCavite, PhilippinesNo salary listedIn-person

About the Job

Requirements

  • At least 3 years of experience in analytics, a data office, or a similar role; experience in shared services or a global hub is preferred.
  • Experience working with data and processes within one or more supply chain domains, such as Plan, Source, Make, or Deliver.
  • Experience working with enterprise resource planning systems, SAP Master Data Governance, Product Information Management, and Informatica for managing, validating, and maintaining master data.
  • Strong technical skills in Python, SQL, robotic process automation tools, and business intelligence platforms.

Responsibilities

  • Participate in global and regional transformation projects involving data migration, data harmonization, master data alignment, and process standardization across business functions and systems.
  • Lead cross-cultural collaboration, ensuring smooth communication and alignment with global markets, regions, and functional partners.
  • Troubleshoot and resolve data integration, transformation, and migration issues to ensure seamless data flow across the organization's ecosystem.
  • Develop and validate data quality rules to ensure data accuracy, completeness, consistency, and timeliness.
  • Monitor data quality indicators and investigate anomalies, failures, and data discrepancies.
  • Identify opportunities to automate manual processes and improve operational efficiency; implement monitoring, alerting, and process enhancements to increase reliability and reduce support effort.
  • Lead delivery of trusted datasets for dashboards, reports, and analytical solutions, ensuring data structures and pipelines support scalable and accurate business insights.
  • Participate in data engineering initiatives, enhancements, and projects from requirements gathering through deployment.
  • Manage assigned tasks, priorities, risks, and timelines to ensure successful delivery.
  • Ensure reliable data ingestion, transformation, and maintenance to support business decision-making.
  • Create and evolve data ingestion processes, design data objects, and refine data pipelines to meet business needs.
  • Implement robust monitoring methods to enhance data reliability and combine raw data into consistent formats.
  • Collaborate in developing testing architectures for data extraction and transformation.
  • Lead bug fixing, model modifications, and code fine-tuning to optimize system performance while considering future data needs.
  • Translate complex data into clear, actionable insights through analytics and data storytelling.

Desired Qualifications

  • Experience in shared services or a global hub.
  • Hands-on experience with parallel and streaming processing tools for big data pipelines.

About the Company

Schneider Electric

Global energy management and automation provider

Schneider Electric is a global specialist in energy management and automation. It helps homes, businesses, and industries run electricity more efficiently by selling electrical products, automation hardware, software, and related services. Its offerings cover electrification, automation, and digitization, and solutions connect devices, collect data, and control systems to optimize energy use in smart industries, resilient infrastructure, and data centers. The company distinguishes itself with a broad, end-to-end portfolio and a worldwide presence in over 100 countries, combining hardware, software, and services to address sustainability and reliability. Its goal is to help people and organizations use energy more efficiently, reduce environmental impact, and improve uptime and reliability.

Company size
10,001+
Company stage
IPO
Headquarters
Rueil-Malmaison, France
Founded
1836

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