Rockwell Automation is a global technology leader focused on helping the world's manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something special. Behind our customers – amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility – our people are energized problem solvers that take pride in how the work we do changes the world for the better.
We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that's you we would love to have you join us!
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” . Supports 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 Proactively 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 Collaborates with business systems analysts and product owners to define requirements Skills, Knowledge, Experience and Education Bachelor's Degree in computer science, software engineering, management information systems, or related field Experience in systems development lifecycle Experience in Data management concepts and implementations Experience with Agile development methodologies and system/process documentation Experience with server-side architectures and containerization Experience with SAP Data Services, Azure ADF, ADLS, SQL, Tabular models, or other domain-specific programming languages Familiarity with business concepts and impact of data on business processes Experience managing multiple projects simultaneously Excellent interpersonal, verbal and written communication skills Ability to adapt quickly to new technologies and changing business requirements Solid problem-solving skills, attention to detail, and critical thinking abilities