Data Engineer at RED ALPHA CYBERSECURITY PTE LTD
Singapore, , Singapore -
Full Time


Start Date

Immediate

Expiry Date

19 Sep, 25

Salary

4000.0

Posted On

20 Jun, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Rdbms, Python, Databases, Postgresql, Scripting, Linux, Mongodb, Windows, Tableau, Stack, Automation, Operating Systems

Industry

Information Technology/IT

Description

Red Alpha Cybersecurity is a talent development company and is looking for aspiring Data Engineers to join our Programme , a unique opportunity to break into Data Engineering with structured training and guaranteed job placement.
Whether you’re a fresh graduate or looking to pivot into Data Engineering, this programme is designed to equip you with the technical capabilities, tools, and real-world exposure to succeed.

WHAT WE LOOK FOR

We’re looking for individuals who demonstrate:

  • Strong analytical thinking and problem-solving skills
  • Curiosity and eagerness to learn new technologies
  • A proactive, hands-on mindset
  • Strong communication and teamwork skills

Experience is not required , training will be provided . We value potential over perfection .

PREFERRED (BUT NOT REQUIRED) TECHNICAL SKILLS

If you already have some experience, great, but no experience is required to apply.

  • Python (for scripting and automation)
  • Data pipeline orchestration tools (e.g. Apache Airflow, AWS Step Functions)
  • Databases: PostgreSQL, MongoDB, Neo4j, MinIO/S3
  • RDBMS: MSSQL, PostgreSQL
  • Schema design (Normalised, Denormalised, Star Schema)
  • Data access authorisation and backup strategies
  • Basic familiarity with BI tools like Tableau
  • Operating systems: Windows, Linux
  • Basic networking knowledge
  • Experience with AWS tech stack

How To Apply:

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Responsibilities
  • Design, build, and maintain scalable and secure data pipelines
  • Own the health and performance of pipeline infrastructure
  • Monitor and improve data quality, reliability, and availability
  • Collaborate with data scientists, analysts, and software engineers
  • Continuously look for ways to streamline and optimise data workflows
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