Join our team as a Data Engineer and play a pivotal role in shaping our data landscape. You'll be instrumental in designing, developing, and maintaining robust data solutions that fuel data generation, collection, and processing.

Your expertise will be crucial in creating efficient data pipelines, ensuring the highest standards of data quality, and implementing sophisticated ETL processes for seamless data migration and deployment across diverse systems. This role offers an exciting opportunity to contribute significantly to our data infrastructure and enhance operational efficiency.

Take ownership of data solutions, becoming a subject matter expert and driving independent contributions. Actively participate in team discussions and collaborate to provide innovative solutions to complex data challenges. Partner with cross-functional teams to thoroughly understand data needs and deliver scalable, high-performance data solutions. Continuously monitor and optimize data workflows to enhance performance, reliability, and efficiency. Maintain comprehensive documentation of data processes and ensure clear, consistent communication with stakeholders. Support and mentor junior team members, fostering their professional development and growth within the team.

A minimum of 3 years of hands-on experience with the Databricks Unified Data Analytics Platform is essential. Demonstrated experience in building and managing scalable data pipelines and workflows. Strong proficiency in data integration techniques and ETL processes is required. Familiarity with cloud-based data storage and processing solutions is expected. Proven ability to effectively troubleshoot and resolve data quality and pipeline issues. Solid understanding of data governance principles and security best practices is necessary. Candidates must have completed 15 years of full-time education.