Drive data innovation by designing, developing, and maintaining robust data solutions for generation, collection, and processing. This role focuses on building efficient data pipelines and ensuring high data quality through meticulous ETL processes for seamless data migration and deployment across systems.

Independently lead projects and become a subject matter expert. Actively participate in team discussions and contribute to problem-solving. Collaborate with cross-functional teams to define data needs and deliver scalable solutions. Monitor and optimize data workflows for improved performance. Document data processes thoroughly and maintain clear stakeholder communication. Mentor junior team members, providing guidance and support.

Requires a minimum of 3 years of experience specifically with the Databricks Unified Data Analytics Platform. Expertise in designing and managing scalable data pipelines and workflows is essential. Strong understanding of data integration techniques and ETL best practices is expected. Familiarity with cloud-based data platforms and analytics services is beneficial. Ability to efficiently troubleshoot and resolve data-related issues is a key requirement.