This Data Engineer role focuses on designing, building, and maintaining robust data solutions for data generation, collection, and processing. You will be instrumental in creating efficient data pipelines, ensuring high data quality, and implementing ETL processes for seamless data migration and deployment across systems. The role offers a dynamic environment for continuous learning and collaboration to optimize data workflows and meet organizational data needs.

As a key member of the team, you'll be expected to become a subject matter expert and contribute actively to team discussions. You will collaborate with cross-functional teams to understand data requirements and deliver scalable, high-quality solutions. Monitoring and troubleshooting data pipeline issues to ensure uninterrupted data flow is also a core responsibility. Additionally, you'll assist junior team members, providing guidance and support.

- Design, develop, and maintain data solutions for data generation, collection, and processing. - Create and manage data pipelines, ensuring data integrity and quality. - Implement ETL processes for efficient data migration and deployment. - Collaborate with cross-functional teams to define and deliver data solutions. - Monitor and resolve issues within data pipelines to maintain operational efficiency. - Document data processes, workflows, and technical specifications. - Mentor and support junior members of the data engineering team.

- Minimum of 3 years of hands-on experience with Databricks Unified Data Analytics Platform. - Proven experience in building and managing scalable data pipelines and workflows. - Strong understanding of data integration techniques and ETL processes. - Familiarity with cloud-based data storage and processing environments. - Ability to optimize data processing for enhanced performance and reliability. - Knowledge of data governance principles and data quality assurance practices. - A foundation of 15 years of full-time education is required.