Senior Data Engineer - Python, SQL

- Interpret and clarify business requirements from various stakeholders - Collaborate with both internal resources and application vendors on projects - Design, develop, and maintain Databricks solutions following data quality standards - Troubleshoot and resolve data-related issues as they arise - Create and configure data models and quality checks to cater to customer needs - Handle multiple database platforms efficiently - Review and analyze data from diverse internal and external sources - Optimize existing PySpark and Python code for better performance - Write efficient and well-documented SQL queries and Python scripts - Identify areas for innovation and increased efficiency in work processes - Conduct unit and integration testing of system settings and configurations - Create end-user release notes and training materials while delivering training to users - Communicate effectively with all levels of business and technology partners - Demonstrate high attention to detail in fast-paced environments while maintaining quality standards - Ensure adherence to Service Level Agreements and turnaround times