Data Engineer

Vortalsoft Inc; New Jersey; On-site; USD 80,000 - 120,000; Full time

Job summary

Vortalsoft Inc is seeking a qualified candidate to create and refine digital twin solutions that mirror physical assets. The role involves interfacing with customers to gather requirements, supporting teams to design technical solutions, constructing data pipelines, and leveraging cloud platforms for deployment.

Ideal candidates will have strong skills in Python programming, experience with IoT integration, and a focus on security and efficiency in digital solutions. The position offers an opportunity to delve into the latest digital twin technologies.

Qualifications

• Experience in creating digital twin solutions.
• Strong proficiency in Python for data handling.
• Familiarity with cloud platforms like Azure or AWS.

Responsibilities

• Create and refine digital twin solutions.
• Interface with customers to capture requirements.
• Work with cross-functional teams for technical designs.
• Construct and manage data pipelines.
• Leverage cloud platforms for deployment.

Skills

Digital twin solutions

Data engineering

Python programming

Cloud platforms (Azure, AWS)

IoT integration

Technical leadership

Job description

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.