Full Stack Data Engineering Specialist
3 days ago
We are seeking a highly skilled Full Stack Data Engineer to join our team at Rockwell Automation. With over 28,000 employees worldwide, we are a global technology leader dedicated to helping manufacturers become more productive, sustainable, and agile.
As a Full Stack Data Engineer, you will design, develop, and deliver reliable, scalable data management solutions using DevOps methodologies and Microsoft PaaS platforms. You will work closely with cross-functional teams to design and enable data and analytics (DA&I) solutions and services throughout the company.
This role is crucial in delivering business outcomes via actionable analytics, decision intelligence, and helping our businesses recognize value and shape how we deliver analytics solutions going forward.
Key Responsibilities:- Designs, codes, and tests new data management solutions, including supporting applications and interfaces.
- Architects data structures to provision and enable "Data as a Service".
- Sets up cross-functional development activity in various DA&I and Connected Enterprise related projects, for internal and external customers
- Develops and tests infrastructure components in Cloud and Edge-level environments
- Monitors industry trends and identifies opportunities to implement new technologies
- Manages the DevOps pipeline deployment model
- Implements software in all environments
- Leverages containerization models and works with other engineers and architects to keep the architecture current
- Assists in the support and enhancement of applications
- Writes high-quality code compliant with regulations
To be successful in this role, you will have a Bachelor's Degree in computer science, software engineering, management information systems, or a related field, along with experience in systems development lifecycle, data management concepts, and implementations, Agile development methodologies, server-side architectures, and containerization.
You should also be familiar with business concepts and the impact of data on business processes, have excellent interpersonal, verbal, and written communication skills, and the ability to adapt quickly to new technologies and changing business requirements.
The estimated salary for this role is around $120,000 - $160,000 per year, depending on location and experience.
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