Join our team as a Data Engineer to craft and maintain sophisticated data solutions. You will be instrumental in the generation, collection, and processing of data, building robust data pipelines and ensuring high data quality. This role involves implementing effective ETL processes for seamless data migration and deployment across various systems, supporting critical data infrastructure and analytics initiatives.

Independently drive projects and become a subject matter expert. Actively contribute to team discussions and problem-solving initiatives, offering innovative solutions. Collaborate with diverse teams to grasp data requirements and deliver scalable, high-performance solutions. Monitor and fine-tune data workflows for enhanced performance and reliability. Maintain clear documentation of data processes and communicate effectively with stakeholders. Provide guidance and support to junior team members, fostering their development.

A strong foundation in Data Modeling Techniques and Methodologies is essential. Demonstrate a solid understanding of database design principles and data warehousing concepts. Proven experience in building and managing ETL pipelines for effective data integration. Familiarity with data quality frameworks and methods to ensure data integrity. The ability to work with substantial datasets and optimize data processing workflows is key. Experience with cloud-based data storage and processing platforms is beneficial. A minimum of 3 years of experience is required, along with a full-time education of 15 years.