Data Engineer (Quận 9)

Mức lươngThoả thuận

Địa điểmHồ Chí Minh

Kinh nghiệm2 - 5 năm

Hạn nộp hồ sơ15/11/2026

Cấp bậcNhân viên

Hình thức làm việcToàn thời gian

Học vấnĐại học

Số lượng tuyển1 người

Nơi làm việcTại văn phòng

Giới tínhKhông yêu cầu

Hạn nộp hồ sơ: 15/11/2026 (Còn 17 ngày)

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Design, develop and maintain scalable data architectures and data pipelines supporting manufacturing applications and analytics.
Integrate data from multiple operational systems and IIoT sources to improve data accessibility and reliability.
Analyze large datasets and leverage advanced analytics and machine learning to generate actionable insights.
Develop ad-hoc visualizations and dashboards to support operational improvements and business decisions.
Collaborate with cross-functional teams to integrate IIoT devices and sensors into existing infrastructure.
Implement monitoring and reporting solutions to track system and manufacturing performance.
Work closely with IT, Operations and business stakeholders to gather requirements and translate business needs into technical solutions.
Ensure data governance, security and compliance requirements are properly maintained.
Work with the Global Data Team and continuously explore emerging technologies to enhance data capabilities.

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering or a related field.
2+ years of experience in Data Engineering or a related field, with proven project delivery experience.
Strong programming skills in Python, Java or C#.
Experience with SQL/NoSQL databases and data storage solutions.
Strong knowledge of AWS, Azure or Google Cloud.
Experience with data visualization tools such as Power BI or Tableau.
Knowledge of big data technologies such as Hadoop or Spark.
Strong analytical and problem-solving skills.
Advanced English communication skills, with the ability to work effectively with global stakeholders.
Strong knowledge of MS Office, including Word, Excel, Outlook and PowerPoint.
Knowledge of R/SAS is a plus.
Basic knowledge of IIoT protocols such as MQTT/CoAP and platforms such as AWS - IoT/Azure IoT is an advantage.
Strong project management skills and ability to manage deliverables and deadlines.
Experience with Agile, JIRA or Trello is a plus.