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Data Engineering Expert
1 week ago
At NTU, the Senior Research Engineer II will play a pivotal role in advancing Air Traffic Management Systems through innovative AI and Data Analytics solutions.
The position involves leading the development of prototypes and optimizing data engineering and AI solutions for research projects. Key responsibilities include managing distributed data systems, driving IoT implementations, and ensuring successful collaboration with stakeholders.
Key Responsibilities:
- Design, develop, and deploy scalable data engineering platforms and AI-driven solutions to enhance project outcomes.
- Manage and optimize distributed data processing systems, hybrid cloud infrastructures, and advanced analytics platforms to ensure efficiency and scalability.
- Contribute to the development and implementation of IoT-based communication solutions for smart cities, healthcare, and logistics projects.
- Collaborate with cross-functional teams to deliver technology solutions tailored to project objectives.
- Ensure compliance with data security standards and promote ethical AI practices.
- Drive client-centric solution creation and build strong relationships with internal and external stakeholders.
- Produce detailed project documentation, including technical reports, performance reviews, and strategic recommendations.
Requirements:
- Proven expertise in data engineering, distributed processing systems, and cloud ecosystems.
- Strong background in machine learning, IoT frameworks, and advanced analytics tools.
- Experience in designing scalable platforms for various industries.
Skills and Qualifications:
- Strong software architecture design skills.
- Proficiency in programming languages such as Python, Java, and Shell scripting.
- Hands-on experience with Hadoop, Spark, Kubernetes, and messaging/streaming systems.
Qualifications:
- Bachelor's degree in information technology, Computer Science, or a related field.
- At least 10-15 years of relevant work experience in data engineering and analytics.
- Technical certifications in cloud computing, data processing, or AI are an advantage.