
Internship: Group Operations & Technology,Group Engineering, Enterprise Data [January – May 2026]
- Singapore
- Training
- Full-time
- Automating the process of assessing the impact of changes to Control-M jobs, improving efficiency and reducing manual effort.
- Optimizing data pipelines to enhance performance, scalability, and reliability.
- Contributing to the development of a robust Quality Assurance (QA) framework for our data systems.
- Analyzing data flows and identifying areas for improvement.
- Collaborating with data engineers and analysts to implement solutions.
- Currently pursuing an undergraduate or postgraduate degree.
- Possesses good data skills and a foundational understanding of data principles.
- Familiar with at least one programming language or scripting language (e.g., Python, SQL, Bash).
- Demonstrates strong analytical skills and a methodical approach to problem-solving.
- Eager to learn and contribute in a fast-paced environment.
- Practical experience in data pipeline optimization and automation.
- Insights into enterprise data warehousing concepts and technologies.
- Hands-on experience with data quality assurance frameworks.
- Opportunities to develop your programming and scripting skills.
- Exposure to the challenges and opportunities of managing large-scale data systems.