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Data Engineer Intern

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Onsite

Data Engineer Intern

Centre for Strategic Infocomm Technologies (CSIT)

Data Engineer Intern

Skills

Big DataSnort

20 days ago

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Important information


Contract type:

Internship

Location:

Singapore

Work mode:

Onsite

Published on:

5 October 2026

What they need


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)

  1. Student Status Letter/Degree Audit (for current undergraduates)

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.

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