我们是 SAP Datasphere 产品下的 One Data Catalog 团队。One Data Catalog 产品致力于提供集中的企业数据治理能力,包括原数据提取、数据整合、数据编录、语义建模、数据仓库、数据联合和数据血缘分析等功能模块。 我们拥有成熟高效的开发流程,我们总是设计优先于开发,我们总是追求高质量代码,我们拥有全面覆盖的测试, 包括单元测试, 集成测试, e2e 测试, 性能测试, 鲁棒性测试等。 团队氛围活跃,定期组织技术分享交流会,头脑风暴,英语角,生日会等各种活动。本次开发两个实习岗位,JD 如下:
1. Cloud Native Software Engineering Internship
Responsibilities
- Work on projects related to data governance, data integration, data warehousing
- Collaborate with experienced software engineers to design, implement, test, and deploy new features
- Learn and use technologies like Node.js, cloud-native development, and JavaScript
- Take initiative, learn quickly, and contribute your ideas
Qualifications
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Ability to communicate effectively in English is plus
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Current university student pursuing a Bachelor's or Master's degree in Computer Science or related field
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Solid foundation in computer science fundamentals and software engineering principles
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Experience with Node.js, JavaScript, or other scripting languages is a plus
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Passion for writing clean, well-tested, maintainable code
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Eligibility to work full-time for a minimum of 6 months
Benefits
- Competitive internship stipend.
- Hands-on experience developing enterprise-level software using cutting-edge technologies
- End-to-end development life cycle knowledge, from design to deployment
- Exposure to code reviews, Agile processes, and collaboration with cross-functional teams
- Mentorship from experienced software engineering professionals
- Opportunities to grow technical and professional skills
- Potential for a full-time role upon completion of the internship
2. Research Software Engineering Internship (AI-related)
Responsibilities:
- Conduct research to explore and implement AI techniques to improve SAP Datasphere product capabilities.
- Collaborate with the development team to integrate AI-based features and enhancements.
- Stay updated with the latest advancements in machine learning and deep learning technologies.
- Assist in the design and implementation of AI-driven modules and algorithms.
- Document research findings, methodologies, and outcomes. (Patent, Paper, etc.)
Qualifications:
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Ability to communicate effectively in English is plus
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Current university student pursuing a Bachelor's or Master's degree in Computer Science or related field
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Solid foundation in computer science fundamentals and software engineering principles
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Enthusiastic and creative thinker with a strong innovation mindset.
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Prior experience or expertise in machine learning and deep learning, evidenced by papers or patents, is a strong advantage.
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Proficiency in Python and Typescript programming is preferred.
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Strong problem-solving skills and ability to work independently and as part of a team.
Benefits:
- Competitive internship stipend.
- Learning and growth opportunities in a supportive environment.
- Opportunity to contribute to a cutting-edge product with real-world impact.
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