As a leading global technology company, Rockwell Automation helps manufacturers be more productive, sustainable, and agile. With over 28,000 employees who strive to make a positive impact, we understand the value of teamwork. We welcome individuals who are passionate about solving problems and looking for a dynamic work environment. If that's you, we would love to have you on board. Job Description The Senior Data Engineer will utilize predictive modeling, statistics, trend analysis, and other data analysis techniques to identify relevant data from internal and external sources, then develop software systems and algorithms to explain or predict customer behavior and solve various business problems. This role will involve assisting business analysts in finding patterns and relationships in data, building predictive models using large-scale data, testing the model on results outside of the sample size, and verifying the model in the real world through relational database structures, research methods, sampling techniques, and system testing. Key Responsibilities - Design, code, and test new data management solutions, including supporting applications and interfaces. - Support development activity in multiple projects related to data engineering and enterprise connectivity. - Collaborate with engineers and architects to plan and maintain the architecture. - Mentor and lead junior 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, create fixes, conduct Root Cause Analysis, and propose permanent fixes. Data Engineering Expertise: - Experience with Databricks (Python, Pyspark, Spark SQL) - 5+ years. - CI/CD experience with Azure DevOps pipeline - 2+ years. - Azure Data Factory for job orchestration - 3+ years. - Requirements and business use case gathering - 3-5 years. - Meta data and data governance - 5+ years. - High-level design and data modeling - 3+ years. - Skills in Python, SQL, PySpark, data warehousing, Azure Stack (Databricks, Data Factory, DevOps). Power BI is an asset but not required. Work Schedule: 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 premium access 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. - Digital course library for professional development and local benefits.