Responsibilities:Build fully automated reusable data pipelines and operationalize them. Maintain and build complex data orchestration systems. Collaborate with colleagues across IT and within Business Data teams to understand specific project requirements and provide tailored complete solutions that fit their needs optimizing data architecture. Take ownership of engineering issues and drive resolutTechnical Requirements:Overall experience should be 6 years with at least 3 years of relevant experience. A strong understanding of Spark and Agile processes is expected. Hands-on experience with PySpark Spark SQL AWS and Databricks is Improvement and Innovation:Collaborate with cross-functional teams to identify opportunities for process optimization and efficiency enhancements in data engineering workflows.