Junior Data Engineer
Singapore · На постоянной основе
Подайте заявку первыми!
- Опыт
- 1+ лет
- Зарплата
- —
- Открытия
- 1
- Опубликовано
- 7 спокойно
- Режим работы
- В офисе
- Образование
- степень бакалавра
- Резюме
- Необходимо подать заявку.
Где вы будете работать
Описание работы
About the Role
As a Junior Data Engineer, you will play a vital role in constructing and enhancing data and AI infrastructure critical for the scalable advancement of generative AI solutions. This position offers a chance to expand your technical skills while collaborating with seasoned professionals to deliver impactful data and platform services.
Key Responsibilities
- Design, build, and maintain infrastructure that supports large-scale training and inference of generative AI models.
- Develop and fine-tune data pipelines and systems for optimal performance, scalability, and cost reduction.
- Assist in deploying infrastructure for the development and operational phases of AI applications.
- Assess and suggest appropriate infrastructure and technology options aligned with business goals.
- Work collaboratively with interdisciplinary teams to address and resolve technical challenges.
- Support the implementation of operational controls and governance mechanisms for AI platforms.
- Create observability tools to monitor AI platform performance, reliability, and usage metrics.
- Stay informed on emerging technologies and contribute innovative ideas to enhance data engineering workflows.
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, or a related discipline.
- At least one year of experience in data engineering, software development, or similar technical roles.
- Intermediate skills in Python programming.
- Intermediate knowledge of SQL and experience with relational database systems.
- Familiarity with data processing techniques and fundamental data engineering concepts.
- Strong analytical problem-solving abilities and capability to work both independently and as part of a team.
- Effective communication skills for engaging in technical discussions and designing solutions.
Preferred Qualifications (Optional)
- Hands-on experience managing data pipelines and executing data engineering workflows.
- Understanding of data access and transformation methods.
- Exposure to cloud platforms and related services.
- Knowledge of distributed systems or large-scale data processing frameworks.
About the Company
Our team works with a united vision to deliver the promise of technology combined with human creativity. Over 775,000 employees contribute daily to ongoing innovation and provide value to clients, partners, communities, and each other. We believe that innovation flourishes in an inclusive, bias-free environment where everyone feels respected, empowered, and able to perform their best.
We support our people’s holistic well-being including their physical, mental, and financial health and offer opportunities for continuous skill development through certifications and diverse experiences. We are proud to be recognized as one of the World’s Best Workplaces™.
Join us to be at the forefront of transformative change. We are an equal opportunity employer committed to inclusive hiring regardless of age, race, sex, disability, veteran status, sexual orientation, gender identity, or other protected characteristics. Candidates are not required to disclose sealed or expunged criminal records during hiring. We honor and prioritize veteran employment opportunities.