Data Engineer Lead For Projects

We are actively searching for highly proficient and driven Data Engineers to enhance our team. The perfect candidate will possess extensive knowledge in data engineering, expertise with cloud technologies (Azure or AWS), and proficiency in Python programming. The responsibilities include crafting, developing, and deploying digital twin solutions that emulate and optimize real-world systems and processes.

Key Responsibilities

• Create and refine digital twin solutions that accurately mirror physical assets and processes in a digital format.
• Customer Projects: Interface to customer to capture the requirements design and review responsibilities (Data Eng 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), ML inferencing.
• 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/Guide the team to achieve the technical goals.