1. Data Governance and Value Enhancement: Lead data governance initiatives to elevate data quality and fluidity, unlocking greater value from data assets.
2. Real-Time Data Monitoring: Innovate in streaming application development for real-time monitoring and anomaly detection in critical infrastructure, ensuring operational safety and efficiency.
3. Data warehouse setup: Follow the best practice to build up the CDT level data warehouse, mining the value from data and provide insights to business.
4. Data-Driven Service Development: Design and implement highly available services powered by data, including but not limited to API, SQL, and subscription endpoints, to support business innovation and decision-making.

• Proficiency in Programming and Tech Stacks: Mastery of Python, with experience in Java or Scala being an additional asset. Familiar with Git, virtual env, Poetry, etc.
• Experience on Cloud Developing: With experience on using cloud service or developing based on cloud service like AWS Batch, AWS KDA, etc.
• DevOps Practitioner: Familiar with CI/CD, have experience in setting up Jenkins or Gitlab pipeline.
• Excellence in Communication and Collaboration: Outstanding communication skills and team spirit, able to collaborate across functions, efficiently conveying and implementing technical solutions.
• Master Problem Solver: Exceptional problem-solving skills, capable of independently analyzing complex issues and devising innovative solutions.

This data engineer role seeks not just a technical elite but a visionary capable of continuous innovation in the data field, leading the company in data governance and service innovation, while pushing the boundaries of AI and large model technologies in specialized domains.