Data Engineer

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, Dev Ops, 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.