Data Engineer Lead for Projects
Data Engineer Lead for Projects
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Job Description
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 realworld 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 crossfunctional 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 realtime 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.
Qualifications :
A Bachelors or Masters degree in Computer Science Engineering or a related discipline.
Additional Information :
8 years
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
