Data Engineer (District 9, HCMC)
Công ty TNHH Techtronic Industries Việt Nam Manufacturing (TTI)
Địa điểm làm việc: Hồ Chí Minh
Hết hạn: Còn 14 ngày
- Chi tiết công việc
- Giới thiệu công ty
Thu nhập: Cạnh tranh
Loại hình: Toàn thời gian
Chức vụ: Nhân viên
Kinh nghiệm: 3 năm
Mô tả công việc
Mô tả Công việc
JOB SUMMARY:
The Data Engineer will play a critical role in driving the integration of data sources across our operations system, IIoT initiatives as well as cooperate with our global data team. This position involves designing and implementing advanced data solutions that enhance operational efficiency, improve decision-making, and foster innovation. The ideal candidate will possess a strong technical background in data engineering and cloud computing, along with a passion for leveraging data to solve complex industrial challenges.
KEY RESPONSIBILITIES AND AUTHORITIES
1. Data Architecture & Engineering: Design, develop, and maintain scalable data architectures and pipelines to support manufacturing applications and analytics (main role).
2. Data Analysis & Insights: Utilize advanced analytics and machine learning techniques to extract actionable insights from large datasets, create ad-hoc visualizations to drive operational improvements and strategic initiatives.
3. IIoT System Integration: Collaborate with cross-functional teams to integrate IIoT devices and sensors into existing infrastructure, ensuring seamless data flow and interoperability.
4. Performance Monitoring: Implement monitoring and reporting systems to track the performance of manufacturing solutions, identifying areas for optimization and enhancement.
5. Collaboration & Communication: Work closely with stakeholders, including IT, operations, and business units, to gather requirements and communicate technical concepts effectively.
6. Compliance & Security: Ensure data governance, security, and compliance with industry standards and regulations, safeguarding sensitive information.
7. Continuous Improvement: Stay updated with emerging technologies and industry trends, recommending innovative solutions to enhance data capabilities and data strategies.
JOB SUMMARY:
The Data Engineer will play a critical role in driving the integration of data sources across our operations system, IIoT initiatives as well as cooperate with our global data team. This position involves designing and implementing advanced data solutions that enhance operational efficiency, improve decision-making, and foster innovation. The ideal candidate will possess a strong technical background in data engineering and cloud computing, along with a passion for leveraging data to solve complex industrial challenges.
KEY RESPONSIBILITIES AND AUTHORITIES
1. Data Architecture & Engineering: Design, develop, and maintain scalable data architectures and pipelines to support manufacturing applications and analytics (main role).
2. Data Analysis & Insights: Utilize advanced analytics and machine learning techniques to extract actionable insights from large datasets, create ad-hoc visualizations to drive operational improvements and strategic initiatives.
3. IIoT System Integration: Collaborate with cross-functional teams to integrate IIoT devices and sensors into existing infrastructure, ensuring seamless data flow and interoperability.
4. Performance Monitoring: Implement monitoring and reporting systems to track the performance of manufacturing solutions, identifying areas for optimization and enhancement.
5. Collaboration & Communication: Work closely with stakeholders, including IT, operations, and business units, to gather requirements and communicate technical concepts effectively.
6. Compliance & Security: Ensure data governance, security, and compliance with industry standards and regulations, safeguarding sensitive information.
7. Continuous Improvement: Stay updated with emerging technologies and industry trends, recommending innovative solutions to enhance data capabilities and data strategies.
Yêu cầu
Yêu Cầu Công Việc
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field
- Minimum of 3 years of experience in data engineering, or a related field, with a proven track record of successful project delivery
- Proficiency in programming languages such as Python, Java, or C#, experience with data visualization tools (e.g., Power BI, Tableau) and data processing frameworks (e.g., Hadoop, Spark). Familiar with MS Word, MS Excel, MS Outlook, and Power Point is a must
- Cloud Platforms: Expertise with cloud platforms (AWS, Azure, or Google Cloud) and proficiency with database and data storage solutions (e.g., SQL, NoSQL) is a must
- Analytical Skills: Strong analytical and problem-solving skills, with the ability to interpret complex data sets and derive meaningful insights
- Communication Skills: Advanced English verbal and written communication skills, with the ability to convey technical information to non-technical stakeholders
- Data Management: Strong skills in data management and analytics, including experience with big data technologies (e.g., Hadoop, Spark) and database management systems (e.g., SQL, NoSQL).
- Data Analytics: Knowledge in data visualization tools (e.g., Tableau, Power BI) and statistical analysis software (e.g., R, SAS).
- IIoT Technologies: Basic knowledge of IIoT protocols (e.g., MQTT, CoAP) and platforms (e.g., AWS IoT, Azure IoT) is a plus.
- Project Management: Strong project management skills, with attention to deliverables and due dates. Experience in Agile methodologies and tools (e.g., JIRA, Trello) is a plus
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field
- Minimum of 3 years of experience in data engineering, or a related field, with a proven track record of successful project delivery
- Proficiency in programming languages such as Python, Java, or C#, experience with data visualization tools (e.g., Power BI, Tableau) and data processing frameworks (e.g., Hadoop, Spark). Familiar with MS Word, MS Excel, MS Outlook, and Power Point is a must
- Cloud Platforms: Expertise with cloud platforms (AWS, Azure, or Google Cloud) and proficiency with database and data storage solutions (e.g., SQL, NoSQL) is a must
- Analytical Skills: Strong analytical and problem-solving skills, with the ability to interpret complex data sets and derive meaningful insights
- Communication Skills: Advanced English verbal and written communication skills, with the ability to convey technical information to non-technical stakeholders
- Data Management: Strong skills in data management and analytics, including experience with big data technologies (e.g., Hadoop, Spark) and database management systems (e.g., SQL, NoSQL).
- Data Analytics: Knowledge in data visualization tools (e.g., Tableau, Power BI) and statistical analysis software (e.g., R, SAS).
- IIoT Technologies: Basic knowledge of IIoT protocols (e.g., MQTT, CoAP) and platforms (e.g., AWS IoT, Azure IoT) is a plus.
- Project Management: Strong project management skills, with attention to deliverables and due dates. Experience in Agile methodologies and tools (e.g., JIRA, Trello) is a plus
Quyền lợi
Laptop
Chế độ bảo hiểm
Xe đưa đón
Đồng phục
Chế độ thưởng
Chăm sóc sức khỏe
Đào tạo
Tăng lương
Nghỉ phép năm
Cách thức ứng tuyển
Ứng viên nộp hồ sơ trực tuyến bằng cách bấm nút Ứng tuyển bên dưới:
Hạn nộp: 07/04/2025
Giới thiệu công ty
Xem trang công ty
Techtronic Industries là Công ty dẫn đầu thế giới với tốc độ tăng trưởng nhanh trong lĩnh vực Dụng cụ máy, Phụ kiện, Dụng cụ cầm tay, Thiết bị ngoài trời, Chăm sóc và Làm sạch sàn dành cho người tiêu dùng/khách hàng tự làm (Do-It-Yourself, "DIY"), người dùng chuyên nghiệp và công nghiệp trong lĩnh vực cải tạo, sửa chữa, bảo trì, xây dựng nhà ở và cơ sở hạ tầng. Chúng tôi đặt trọng tâm vào việc đẩy nhanh tốc độ chuyển đổi các lĩnh vực nói trên thông qua công nghệ không dây ưu việt, thân thiện...
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