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

This role involves crafting efficient data pipelines, ensuring the integrity and quality of our data, and implementing critical ETL processes for seamless data migration and deployment across systems. Continuous monitoring and optimization of data workflows will be key to supporting organizational objectives.

- Independently perform duties and evolve into a subject matter expert (SME). - Actively participate and contribute in team discussions and problem-solving sessions. - Design and implement scalable data solutions in collaboration with cross-functional teams. - Monitor and troubleshoot data pipelines to guarantee system reliability and optimal performance. - Document data processes and workflows to foster clarity and knowledge sharing. - Mentor and support junior team members.

- Minimum 3 years of experience, with a strong focus on Google BigQuery. - Proven experience in designing and implementing ETL processes for data migration and transformation. - Solid understanding of data pipeline architecture and data integration methodologies. - Familiarity with cloud-based data storage and processing platforms. - Expertise in optimizing query performance and managing large datasets effectively. - Knowledge of data quality assurance and validation techniques. - Completion of 15 years of full-time education is required.