Join our team as a Data Engineer and take ownership of designing, developing, and maintaining robust data solutions. You'll be instrumental in shaping data generation, collection, and processing strategies. This role involves creating efficient data pipelines, ensuring exceptional data quality, and implementing effective ETL processes for seamless data migration and deployment across systems.

Key responsibilities include becoming a Subject Matter Expert (SME) and performing independently. Active participation in team discussions and contributing solutions to complex problems are essential. You will collaborate with cross-functional teams to define data needs and deliver scalable solutions. Monitoring and optimizing data workflows for performance and reliability, documenting processes, and maintaining stakeholder communication are also vital. You'll have the opportunity to mentor junior team members by sharing knowledge and providing guidance.

Essential qualifications include a minimum of 3 years of experience, with a strong focus on the Databricks Unified Data Analytics Platform. Experience in building and managing scalable data pipelines and workflows is crucial. A solid understanding of data integration and ETL concepts, alongside familiarity with cloud-based data storage and processing solutions, is expected. The ability to troubleshoot and resolve data quality and pipeline issues, coupled with knowledge of scripting and automation for data operations, will set candidates apart. A minimum of 15 years of full-time education is also required.