This Data Engineer role focuses on designing, building, and maintaining robust data solutions. You will be instrumental in creating efficient data pipelines, ensuring high data quality, and implementing sophisticated ETL processes for seamless data migration and deployment across systems. This position offers a dynamic environment where you'll collaborate with teams to optimize data workflows and meet evolving organizational data needs.

As a key member of the team, you are expected to operate independently and become a subject matter expert. Your active participation in team discussions and contributions to problem-solving will be highly valued. You will collaborate with various departments to grasp data requirements and deliver scalable, effective solutions.

This role involves monitoring and resolving data pipeline issues to guarantee continuous data flow, documenting all data processes and workflows for clarity and knowledge sharing, and supporting junior team members with guidance and assistance.

- Design, develop, and maintain data generation, collection, and processing solutions. - Create and manage efficient data pipelines, ensuring data integrity and quality. - Implement ETL processes for data migration and deployment across systems. - Collaborate with cross-functional teams to define and meet data requirements. - Monitor and troubleshoot data pipeline performance, addressing issues promptly. - Document data processes, workflows, and best practices. - Provide mentorship and support to junior team members.

A strong command of the Databricks Unified Data Analytics Platform is essential for this role. You should possess hands-on experience in building and managing scalable data pipelines and workflows, coupled with a deep understanding of data integration and ETL methodologies. Familiarity with cloud-based data storage and processing solutions is also expected.

The ability to optimize data processing for both performance and reliability is crucial. Additionally, a solid understanding of data governance principles and quality assurance practices will be vital for success. A minimum of three years of experience specifically with the Databricks Unified Data Analytics Platform is required. A completed 15 years of full-time education is a prerequisite for this position.