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!
Job Description
Use predictive modeling, statistics, trend analysis, and other data analysis techniques to identify the right data to be analyzed from internal and external sources, then constructs software systems and algorithms to explain or predict customer behavior and solve a variety of business problems. Assist business analysts with finding patterns and relationships in data. Build predictive models using large-scale business data, test the model on results outside of the sample size and verify the model in the real world through relational database structures, research methods, sampling techniques, and system testing.
You will report to the Director of Commercial Innovation and Design.
Description:
• Design, code and test new data management solutions, including supporting applications and interfaces.
• Supports cross-functional development activity in multiple DA&I and Connected Enterprise related projects, for internal and external customers.
• Works with other engineers and architects to plan and keep the architecture current
• Mentors and leads DA&I engineers through the development lifecycle.
• Manages and improve the DevOps pipeline deployment model.
• Writes high-quality code compliant with regulations.
• Collaborates with business systems analysts and product owners to define requirements.
• Support backlog management in JIRA to maintain stories
• Lead a small pod of analyst and engineers for new feature development
• Create test and data validation logic, framework and code
• Trouble shoot reported issues and bugs, create fixes, conduct Root Cause Analysis and propose permanent fixes
Data Engineer Responsibilities (Total IT experience for 5-7 years):
• Data engineering with Databricks (Python, Pyspark, Spark SQL): 5+ years
• CI/CD with Azure DevOps pipeline: 2+ years
• Azure Data Factory for job orchestration: 3+ years
• Requirement & Business use case gathering: 3-5 years
• Meta data & Data Governance: 5+ years
• High-level Design, Data Modeling: 3+ years
Sharp skills in Python, SQL, PySpark, Data Warehousing, Azure Stack (Databricks, Data Factory, DevOps). Power BI is optional but plus
Hours: Provide daily support 7:00am to 4:30pm CST or 12:00pm to 9:00pm IST
What We Offer:
Our benefits package includes …
· Comprehensive mindfulness programs with a premium membership to Calm
· Volunteer Paid Time off available after 6 months of employment for eligible employees.
· Company volunteer and donation matching program – Your volunteer hours or personal cash donations to an eligible charity can be matched with a charitable donation.
· Employee Assistance Program
· Personalized wellbeing programs through our OnTrack program
· On-demand digital course library for professional development... and other local benefits!
We believe that employee diversity is an important element of our common future. We provide opportunities for talent growth with the entire organization. We support equality by celebrating the individuality of every person, regardless of their origin and identity. We appreciate the unique cultural pattern and variety of experiences in each of us. We invite all who want to join and change the world of our organization.
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Rockwell Automation’s hybrid policy aligns that employees are expected to work at a Rockwell location at least Mondays, Tuesdays, and Thursdays unless they have a business obligation out of the office.