Rockwell Automation is a global technology leader helping manufacturers improve productivity, sustainability, and agility. With over 28,000 employees worldwide, we aim to make a positive impact. We invite makers, forward thinkers, and problem solvers to join our team and do their best work. Job Description Data Engineers play a crucial role in analyzing data from internal and external sources to identify trends and patterns. They design, code, and test software systems and algorithms to explain or predict customer behavior and solve business problems. Working closely with business analysts, Data Engineers assist in finding relationships in data and building predictive models using large-scale data. These models are tested on results outside of the sample size and verified in the real world through relational database structures, research methods, sampling techniques, and system testing. - Design, code, and test new data management solutions, including supporting applications and interfaces. - Support development activity in multiple projects for internal and external customers. - Work with other engineers and architects to plan and maintain current architecture. - Mentor and lead DA&I; engineers through the development lifecycle. - Improve 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 pod of analyst and engineers for new feature development. - Create test and data validation logic, framework, and code. - Troubleshoot reported issues and bugs, create fixes, conduct Root Cause Analysis, and propose permanent fixes. Data Engineer Responsibilities: - 5+ years of experience in data engineering with Databricks (Python, Pyspark, Spark SQL). - 2+ years of experience in CI/CD with Azure DevOps pipeline. - 3+ years of experience in Azure Data Factory for job orchestration. - 3-5 years of experience in requirement and business use case gathering. - 5+ years of experience in meta data and data governance. - 3+ years of experience in high-level design and data modeling. Desirable skills include Python, SQL, PySpark, Data Warehousing, and Azure Stack (Databricks, Data Factory, DevOps). Knowledge of Power BI is an added benefit.