Undergraduate data engineering interns will manipulate high-volume streaming data, design databases, conduct technology scans and proof-of-concepts, acquire and query data, develop and test systems, and present solutions. Potential projects include DPI acceleration using Snort and Regex, PCAP search, and KSQL real-time stream processing.
Duration: 2 - 4 Months
Internship Type: Undergraduate; Pre-University
Raw data flows at high speed and high volume across enterprise systems. The multiplicity of file format and erroneous file content often make integration and maintenance of systems a challenging task. Data Engineers need to find trends in this complex environment and develop algorithms to make raw streaming data useful to the organisation.
As a Data Engineer intern, you will:
- Gain valuable experience in big data manipulation and acquire deep knowledge in database design and programming.
- Learn to manage, analyse and extract database-centric distinctive information and enrich them in real time to provide value to the end user.
- Be able to hone your technical skills using multiple programming languages and scripting tools.
Broad Deliverables
- Conduct technology scan and proof-of-concept.
- Data acquisition, query and manipulation to address business issues.
- Design, develop, test and deliver the system.
- Present the system to management and users.
Possible Projects*
- DPI accelerator (using Snort/Regex)
- Pcap search engine
- KSQL real-time stream processing
Prerequisites/Skills Required
- Prior knowledge in programming
In your application, please submit the following documents in a single PDF file for 'Resume/CV':
1. Resume/CV
2. All Education Certificates to-date (from secondary to tertiary education)
- GCE 'O'/'N' Levels, NITEC
- Prelim/GCE 'A' Levels, IB/Diploma
- Latest university transcript from Year 1 (for current undergraduates)
3. Student Status Letter/Degree Audit (for current undergraduates)
Centre for Strategic Infocomm Technologies Singapore, Singapore, SGP Office
Singapore, Singapore
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