11 дней назад
Global Operations Data Engineer (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Global Operations Data Engineer (AI): Building scalable enterprise data platforms, pipelines, integration services, and AI-ready datasets for global manufacturing operations with an accent on data governance, cloud-native engineering, and operational data reliability. Focus on designing batch, streaming, and event-driven architectures, implementing data quality and lineage controls, and enabling Smart Factory, Digital Twin, analytics, and AI initiatives.
Location: Singapore-Yishun
Company
develops technologies and digital solutions that support global manufacturing, analytics, enterprise operations, and intelligent decision-making.
What you will do
- Design, develop, and maintain scalable enterprise data pipelines integrating manufacturing, supply chain, procurement, logistics, quality, engineering, ERP, MES, and industrial IoT data.
- Build reusable data products, curated datasets, cloud-native solutions, APIs, and integration services for reporting, analytics, AI applications, and digital products.
- Implement batch, streaming, and event-driven data processing across SAP, MES, PLM, quality systems, cloud platforms, and operational technologies.
- Implement data governance, automated quality validation, reconciliation, metadata, data lineage, cataloging, and Master Data Management practices.
- Prepare AI-ready datasets and feature engineering pipelines in collaboration with AI and Data Science teams.
- Improve platform reliability through observability, monitoring, alerting, DevOps, CI/CD, automated testing, and continuous technology evaluation.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, Software Engineering, Engineering, or a related discipline.
- Experience in data engineering, software engineering, data integration, or enterprise data platforms.
- Strong programming skills in Python and SQL.
- Experience building and maintaining scalable data pipelines and cloud-based data solutions.
- Understanding of data modeling, ETL/ELT, API integration, and enterprise data management principles.
- Strong analytical, problem-solving, and communication skills.
Nice to have
- Experience with manufacturing, supply chain, quality, enterprise operations, Industry 4.0, industrial IoT, or smart manufacturing.
- Experience with Azure, AWS, Databricks, Microsoft Fabric, data lakehouse or data warehouse architecture.
- Experience with event-driven processing, data governance, metadata management, MDM, AI platforms, DevOps, or CI/CD.
- Experience with Streamlit.
Culture & Benefits
- Full-time schedule with a day shift.
- Occasional travel is required.
- No fixed end date for the position.
- Pay and benefits vary by country, work location, role level, skills, experience, and education.
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