Lead Data Engineer
7 months ago
Core Responsibilities:
Data Governance and Value Enhancement: Lead data governance initiatives to elevate data quality and fluidity, unlocking greater value from data assets.
Real-Time Data Monitoring: Innovate in streaming application development for real-time monitoring and anomaly detection in critical infrastructure, ensuring operational safety and efficiency.
Predictive Maintenance: Build advanced batch processing applications to predict potential failures in elevator equipment, proactively reducing downtime.
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.
Exploration of AI and Large Models: Deep dive into the application of artificial intelligence and large models within the elevator maintenance sector, pioneering new approaches to data intelligence, predictive maintenance, and fault diagnosis.
Professional Qualifications:
Expertise in Cloud Computing: Deep understanding and flexibility in using cloud service platforms like AWS, capable of designing and deploying efficient data processing systems under high load environments. Proficiency in Programming and Tech Stacks: Mastery of Python, with experience in Java or Scala being an additional asset, enabling efficient operation across diverse programming environments. Foundation in Algorithms and Data Structures: Solid grounding in data structures and algorithms, coupled with hands-on experience in handling and analyzing large-scale data sets. Leadership in Data Processing: Extensive experience in developing both real-time and batch data processing applications, capable of designing and implementing innovative and effective data solutions. MLOps Practitioner: Experience in MLOps practices, with in-depth knowledge of the deployment, monitoring, and maintenance processes of machine learning models. Innovator in Data-Driven Services: Ability to effectively govern data, ensuring quality, and on this foundation, develop innovative data-driven services. Pioneer in AI Application: Deep research and practical experience in the application of AI and large models in niche sectors, capable of leading the exploration and application of new technologies. 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 senior 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.
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