Seeking a skilled Data Engineer to design, develop, and maintain robust data solutions for data generation, collection, and processing. This role involves building efficient data pipelines, ensuring data integrity, and implementing ETL processes for seamless data migration and deployment across systems. The ideal candidate will be instrumental in managing data workflows and collaborating with teams to meet organizational data objectives.

Key responsibilities include independently driving projects to become a subject matter expert, actively contributing to team discussions, and providing innovative solutions to technical challenges. You will collaborate with cross-functional teams to define data requirements and deliver scalable solutions, while also monitoring and optimizing data pipelines for performance and reliability. Documentation of data processes and mentorship of junior team members are also essential aspects of this role.

Essential skills include a strong proficiency in Microsoft Azure Databricks, alongside experience in building and managing scalable data pipelines. A solid understanding of data integration and ETL concepts, coupled with familiarity in cloud-based data solutions, is expected. The ability to troubleshoot data issues effectively and a grasp of data governance best practices are crucial. A minimum of 3 years of experience is required for this position, and candidates must have completed 15 years of full-time education.