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Data EngineerVortalSoft • New York, New York, United States
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Data Engineer

VortalSoft
  • US
    New York, New York, United States
  • US
    New York, New York, United States
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À propos

Key Responsibilities Create and refine digital twin solutions that accurately mirror physical assets and processes in a digital format. Interface with customers to capture requirement design and review responsibilities (Data Engineering Specifics). Work alongside cross-functional teams such as testing, DevOps, and Customer Solutioning to gather requirements and convert them into actionable technical designs. Construct and manage data pipelines and integration workflows to support digital twin models. Leverage cloud platforms like Azure or AWS to deploy, manage, and scale digital twin solutions. Produce and maintain robust Python code for data handling, whether as APIs or standalone applications, alongside analytics and simulation tasks. Integrate real‑time data from IoT devices and sensors into the digital twin models, enhancing their accuracy and functionality. Guarantee the security, scalability, and efficiency of the digital twin solutions. Offer technical leadership and support to fellow team members. Specialize in implementing serverless concepts (Azure Functions, Lambda) and ML inference. Stay informed of the latest advancements in digital twin technology, cloud computing, and data engineering. Develop strategies for seamlessly integrating digital twin solutions with existing systems and data sources to provide a unified perspective on asset performance. Mentor or guide the team to achieve the technical goals.
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  • New York, New York, United States

Compétences linguistiques

  • English
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