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 As a Senior Data Engineer, you will 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 construct software systems and algorithms to explain or predict customer behavior and solve a variety of business problems. You will assist business analysts with finding patterns and relationships in data. You will build predictive models using large-scale 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: You will design, code, and test new data management solutions, including supporting applications and interfaces. You will support development activity in multiple DAI and Connected Enterprise related projects, for internal and external customers. You will work with other engineers and architects to plan and keep the architecture current. You will mentor and lead DAI engineers through the development lifecycle. You will improve the DevOps pipeline deployment model. You will write high-quality code compliant with regulations. You will collaborate with business systems analysts and product owners to define requirements. You will support backlog management in JIRA to maintain stories. You will lead a small pod of analysts and engineers for new feature development. You will create test and data validation logic, frameworks, and code. You will troubleshoot 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 Skills in Python, SQL, PySpark, Data Warehousing, Azure Stack (Databricks, Data Factory, DevOps). Power BI is optional but a plus. Hours: Provide daily support from 7:00 am to 4:30 pm CST or 12:00 pm to 9:00 pm IST. What We Offer: 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. Employee Assistance Program Personalized wellbeing programs through our OnTrack program On-demand digital course library for professional development and other local benefits! #LI-PT2 #LI-Hybrid Rockwell Automation's hybrid policy expects employees to work at a Rockwell location at least Mondays, Tuesdays, and Thursdays unless they have a business obligation out of the office. #J-18808-Ljbffr