System Engineer

Posted 3 Days Ago
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Central Singapore, SGP
In-Office
Entry level
Information Technology • Software • Consulting • Cybersecurity
The Role
Analyzes business and regulatory requirements, designs scalable data and solution architectures, estimates project effort, and communicates technical concepts to stakeholders. Reviews testing and data validation strategies. Develops logical data layers and curation approaches for reporting, analytics, and AI/NLP use cases, including text classification, entity extraction, risk identification, and document summarization across data lake and data warehouse environments.
Summary Generated by Built In
  • Analyze business and regulatory requirements and translate them into scalable solution designs.
  • Perform detailed effort estimation for projects and change requests.
  • Communicate complex technical and architectural concepts to business and senior stakeholders in a clear, simplified manner
  • Review and approve test strategies, functional test cases, and data validation approaches.
  • Ability to design data architectures supporting NLP and AI‑driven analytics, including ingestion, curation, and governance of unstructured data within Data Lake, Data warehouse platforms.
  • Experience translating business and compliance requirements into NLP‑enabled analytical use cases, such as: Text classification and categorization, Entity extraction, Risk indicator identification, Summarization of alerts, cases, or documents
  • Ability to translate business, regulatory, and analytics requirements into logical data layering and curation strategies that support reporting, analytics, and AI/NLP use cases


Skills Required

  • Analyze business and regulatory requirements and translate them into scalable solution designs
  • Perform detailed effort estimation for projects and change requests
  • Communicate complex technical and architectural concepts clearly to business and senior stakeholders
  • Review and approve test strategies, functional test cases, and data validation approaches
  • Design data architectures supporting NLP and AI-driven analytics
  • Support ingestion, curation, and governance of unstructured data in data lake and data warehouse platforms
  • Translate business and compliance requirements into NLP-enabled analytical use cases
  • Develop logical data layering and curation strategies for reporting, analytics, and AI/NLP use cases
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The Company
84 Employees
Year Founded: 2009

What We Do

Technopals provides IT solutions to organizations, including IT security services, talent acquisition, enterprise IT infrastructure, and software development. Serving organizations across Asia Pacific and other global markets, it works with businesses of all sizes to help them meet infrastructure needs and gain value from technology. Its approach emphasizes established industry practices, client service, and practical IT solutions.

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