Digital IIoT Engineer

  • Computer/Information Technology
  • FULL-TIME
  • 2 months ago

Job Information

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    Salary SGD $0 - $500 / Monthly
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    Level Executive
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    Experience 2 years
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    Qualifications Bachelor Degree

Job Description

Remuneration: $3,500 to $5,500/month

Responsibilities

  • Work with Operations team and I4.0 analyst and review digital diagnostic output, and identify which initiativeswould require an IIoT platform
  • Assess the current IIoT maturity and identify gaps
  • Based upon the IIoT roadmap design the future state for IIoT architecture and data architecture, and develop capability building for I4.0 transformation team
  • Define the organization changes required and the team needed to successfully deploy
  • Lead vendor selection process to identify platform to deploy and select system integrators to implement the solution(s)

Requirements

  • Degree in Computer Science / Engineering
  • Min 2 years of experience in deploying IoT solutions in industry (manufacturing & process industries, business automation, asset tracking, smart utilities, etc.)
  • Candidates experience in Python and JavaScript programming skill will be an added advantage.
  • Knowledge and experience of working with IoT platforms such as PTC Thingworx, Siemens Mindsphere, Microsoft Azure, etc.
  • Knowledge of how the entire IoT stack works – from data ingestion, storage, analysis to building front-end applications
  • Experience in designing architecture and distributed services with low latency and real time QoS
  • Experience in rapid prototyping and ideation, ideally spanning sensors and microcontroller systems / embedded devices.
  • Experience of database technologies such as data modeling and structuring with proficiency with both relational and non-relational databases as well as SQL
  • Experience with cloud providers such as AWS and Azure
  • Experience with APIs and integration of multiple different software solutions through an IoT platform
  • Ability to work in a fast-paced, iterative development environment (Agile way of working).
  • Strong analytical and problem-solving skills
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