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 relevant data from internal and external sources. Construct software systems and algorithms to explain or predict customer behavior and solve various business problems. Assist business analysts in finding patterns and relationships in data. Build predictive models using large-scale data, test models outside sample data, and verify their effectiveness 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. - Support development activities in multiple DA&I; and Connected Enterprise projects for internal and external customers. - Collaborate with other engineers and architects to plan and maintain current architecture. - Mentor and lead DA&I; engineers through the development lifecycle. - Improve the DevOps pipeline deployment model. - Write high-quality code compliant with regulations. - Collaborate with business systems analysts and product owners to define requirements. - Support backlog management in JIRA to maintain stories. - Lead a small team of analysts and engineers for new feature development. - Create test and data validation logic, frameworks, and code. - Troubleshoot reported issues and bugs, conduct root cause analysis, and propose permanent fixes. Data Engineer Responsibilities (Total IT experience: 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 Required skills include Python, SQL, PySpark, Data Warehousing, and Azure Stack (Databricks, Data Factory, DevOps). Power BI experience is 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 after 6 months of employment for eligible employees - Company volunteer and donation matching program - Employee Assistance Program - Personalized wellbeing programs through our OnTrack initiative - 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