Supports the design and development of scalable end-to-end data pipelines and cloud data platforms. Responsibilities include improving data reliability and quality, implementing data management practices, supporting automation and process improvements, ensuring secure and cost-effective solutions, and recommending system enhancements. The intern collaborates with global teams and gains hands-on experience in data engineering, project coordination, and innovation management.
Overview
We are looking for a dynamic and proactive intern to join our team. This role will support day-to-day tasks, offering hands-on experience in managing and executing strategic projects. The intern will collaborate closely with the Manager, providing valuable assistance in areas such as process improvement, research, project coordination, and automation.
QualificationsTechnical:
- Understanding of RDBMS or NoSQL databases
- Experience in building ELT/ETL pipelines (preferred)
- Scripting skills in Python, Spark, and SQL (preferred)
- Familiarity with data analytics and visualization tools (e.g., Power BI)
Non-Technical:
- Proficient in English and Mandarin
- Able to work independently and in global teams
- Strong commitment to service excellence
- Good communication, planning, and analytical skills
- Eager to learn and apply new technologies
Benefits:
- Gain hands-on experience in innovation management, project coordination, and automation implementation.
- Opportunity to work closely with industry professionals and contribute to real-world projects.
- Work in a multicultural, multilingual environment, enhancing cross-cultural communication skills.
- Potential to network within the industry
- Work with the team to design and build scalable end to end data pipelines from multiple sources and system.
- Drive the technical design and implementation of large scale data platforms, utilizing modern technologies in a cloud environment
- Ability to provide cost effective, secure and scalable solution which is operationally efficient
- Develop and implement methods to improve data reliability & quality
- Implement and manage company data management practices and policies
- Proactively and regularly make recommendations for system improvements
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With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
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