Senior Data Engineer - Manufacturing Data Platform (1 Year)
SYSTEMS ON SILICON MANUFACTURING COMPANY PTE LTD
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Zusammenfassung
SSMC (Systems on Silicon Manufacturing Company Pte. Ltd.) seeks a Senior Data Engineer to design, build and operate scalable data solutions for the manufacturing and enterprise data platform in Singapore.
You will enable data discovery, onboarding, integration, replication, governance, and security, supporting analytics and digitalisation on a 1-year contract. You will work with MinIO, StarRocks and modern data technologies to develop end-to-end data pipelines, collaborate with stakeholders to
Qualifikationen
- Bachelor’s degree in Computer Science, Engineering, IT, Data Engineering or related field.
- At least 5 years of relevant experience in data engineering or data management.
- Experience with databases, data platforms, and enterprise data delivery.
Aufgaben
- Design, develop, and maintain data tracks and reusable data products on the SSMC Data Platform.
- Develop and optimize data ingestion, integration, replication, and analytics pipelines.
- Support data platform services including storage, access, metadata, and data lifecycle management.
- Collaborate with business stakeholders to define data models and governance standards.
- Ensure data quality, lineage, and security across the data lifecycle.
- Troubleshoot complex data and integration issues and drive continuous improvement.
- Evaluate new technologies to strengthen data platform capabilities.
- Work with cross-functional teams to deliver scalable, reliable data solutions.
Kenntnisse
Ausbildung
Tools
Jobbeschreibung
SSMC (Systems on Silicon Manufacturing Company Pte. Ltd.) seeks a Senior Data Engineer to design, build and operate scalable data solutions for the manufacturing and enterprise data platform in Singapore.
You will enable data discovery, onboarding, integration, replication, governance, and security, supporting analytics and digitalisation on a 1-year contract. You will work with MinIO, StarRocks and modern data technologies to develop end-to-end data pipelines, collaborate with stakeholders to
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