Associate Data Engineer (Internship) - Geylang
SPD Scientific Geylang Temporary
Roles & Responsibility
- Assist in the development and maintenance of data pipelines and ETL/ELT processes under the guidance of the Data Engineer.
- Support data integration tasks by preparing and organizing data from various systems into central repositories.
- Help monitor data workflows and follow up on any processing issues to ensure data consistency and completeness.
- Participate in the setup of cloud and on-premise infrastructure for data storage and backup.
- Assist in basic documentation of data flows, schema designs, and pipeline processes.
- Contribute to data cleaning and preparation tasks to ensure quality datasets for analysis.
- Learn about data governance, security practices, and foundational AI-related concepts in a supportive environment.
- Currently pursuing a degree in Computer Science, Information Systems, Data Science, or a related field.
- Some exposure to Python and SQL is preferred, but a willingness to learn is most important.
- Interest in cloud platforms (e.g., AWS, Azure) and basic knowledge of how data is stored and moved is a plus.
- Familiarity with data visualization tools (e.g., Power BI) is advantageous but not required.
- Strong attention to detail, a curious mindset, and good communication skills.
- A team player who enjoys problem-solving and is eager to learn from real-world data engineering work.
- Hands-on experience with real data infrastructure and tools used in modern data engineering.
- Mentorship and learning opportunities from experienced professionals.
- Exposure to cloud and on-premises data environments and how they work together.
- A better understanding of how data engineering supports business intelligence and AI initiatives.
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