Data Engineer

• Collaborate with stakeholders to understand data requirements and translate them into technical specifications
• Design, develop, and implement data pipelines and ETL processes
• Perform thorough unit testing to validate functionality and performance
• Implement data quality checks and validation processes
• Coordinate with cross-functional teams on project goals, timelines, and deliverables
• Monitor data workflows and pipelines for performance, reliability, and efficiency
• Implement improvements as necessary
• Create and maintain documentation for data processes, architecture, and workflows
• Conceptualize and implement the setup and management of the Databricks-based data platform across different regions

Explore Data Engineering Analyst at Marsh McLennan. Review requirements and application details.