DA&I ANALYTICS ENGINEER

Rockwell Automation
June 24, 2023
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Offerd Salary:Negotiation
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Working Time:Negotigation
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Rockwell Automation is a global technology leader focused on helping the world's manufacturers be more productive, sustainable, and agile. With more than 25,000 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!

Job Description

Key Responsibilities:

  • Designs, codes and tests new Analytics applications, including supporting applications and interfaces

  • Supports cross-functional development activity in various Analytics 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

  • Enables automated testing procedures

  • 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 Analytical concepts and implementations

  • Experience with Agile development methodologies and system/process documentation

  • Experience with server–side architectures and containerization

  • Experience with DAX, M! (Power Query), SQL, Tabular models, or other domain-specific programming languages

  • Experience with AAS, SSAS, Power BI, SSMS, Dataflow, SSIS, Datafactory, SharePoint

  • Familiarity with business concepts and data story telling

  • 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

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