Senior Data Engineer

Interpret business requirements and work with internal resources as well as application vendors. Design, develop and maintain Data Bricks solutions and relevant data quality rules. Troubleshoot and resolve data-related issues. Configure and create data models and data quality rules to meet customer needs. Handle multiple database platforms like Microsoft SQL Server and Oracle. Review and analyze data from multiple internal and external sources. Analyze existing Python/ PySpark complex code and identify areas for optimization. Write new optimized SQL queries or Python scripts to improve performance and reduce time. Identify opportunities for efficiency and innovative approaches to completing the scope of work. Write clean, efficient, and well-documented code that adheres to best practices and Council IT coding standards. Maintain and operate existing custom code processes. Participate in team problem-solving efforts and offer ideas to solve client issues. Query writing skills with the ability to understand and implement changes to SQL functions and stored procedures. Effectively communicate with business and technology partners, peers, and stakeholders. Deliver results under demanding timelines to real-world business problems. Work independently and multi-task effectively. Configure system settings and options and execute unit/integration testing. Develop end-user release notes, training materials, and deliver training to a broad user base. Identify and communicate areas for improvement. Responsible for quality checks and adhering to the agreed Service Level Agreement (SLA) / Turn Around Time