Position Impact:
The Data Engineer is responsible for designing, building, and maintaining data solutions that ensure data is accessible, reliable, and scalable across the company. This role involves working with large-scale databases, identifying hidden risks, and developing solutions that enhance data performance and quality. You will collaborate closely with backend engineers, other data engineers, and product managers to deliver data solutions that align with business objectives.
Responsibilities:
• Design database structures, schema, and a management database to support high-performance data analytics.
• Build dashboard and report interfaces that increase data accessibility to deliver actionable insights to stakeholders to find solutions.
• Build up the prediction model to identify and monitor key performance metrics.
• Build data tools that boost team working efficiency.
Requirement:
• Bachelor's degree in Computer Science, Information Management, Statistics or related fields.
• 3+ years relevant experience in data engineering or backend development.
• Proficiency in Python or Java for building scalable data pipelines or backend services.
• Strong knowledge of SQL (query optimization, indexing) and database design principles.
• Good communication skills and ability to work cross-functionally with technical and non-technical teams.
• Strong analytical and problem-solving skills paired with the ability to develop creative and efficient solutions.
Advanced Qualifications
• Experiences with Tableau, Starrocks, Flink CDC, or Hadoop will be a plus.
We are now looking for AI Software Engineers for UpGPT! UpGPT is our innovative LLM SaaS application built for enterprise. We take AI-first approach to knowledge management, bringing AI into workflow, not the other way around. In this role you will design and implement new development features, optimizations, build APIs, analyze and tune performance, and expand functionality coverage.
Roles and Responsibilities:
- Design, development and implementation of LLM applications.
- Define requirements with stakeholders, conduct experiments, and evaluate models
for performance and scalability.
- Stay current on the latest GenAI trends, frameworks, and coding practices.
- Proficiency in designing and building in cloud environments such as Azure, GCP, or
AWS.
Benefits:
- Competitive salary and benefits package.
- Opportunies to work on cutting edge technologies and make a meaningful impact
in the field.
- Great professional development and career advancement opportunities.
- Dynamic and innovative work culture.
Qualifications:
- Bachelor's degree in Computer Science, Engineering, or related fields.
- Experience in building with LLM's such as GPT-4, Claude, etc.
- Strong understanding of LLM architectures, such as RAG, vector store, etc.
- Solid understanding of deep learning fundamentals and techniques.
- 4+ years of experience programming with Python.
- 2+ years of experience with a public cloud (Azure preferred)
- 2+ years of experience with common cloud tools such as Blob Storage, Azure App
Services, Virtual Machines.