Data Engineer

• Design, develop, and maintain scalable data pipelines using Databricks
• Implement and manage ETL processes to ensure high data quality and reliability
• Optimize data storage solutions for performance and cost-efficiency
• Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver actionable insights
• Contribute to the development of data strategies that align with the company's business objectives, especially within the fabrics domain
• Ensure data security, privacy, and governance across all data platforms
• Implement best practices for data management, including documentation, testing, and version control
• Stay current with the latest trends and technologies in data engineering, particularly within Databricks and the fabrics industry

Senior Data Engineer – Databricks

Senior Data Engineer

Director, Portfolio Architect, Data Architecture

Junior Client Data Engineer

Data Architect

Data Engineer – Platform Central Data