Join our team as a Data Engineer to design, build, and maintain robust data solutions for data generation, collection, and processing. This role focuses on creating efficient data pipelines, ensuring high data quality, and implementing ETL processes for seamless data migration and deployment across systems. You'll contribute significantly to our data infrastructure and operational excellence.

Independently perform as a subject matter expert, actively contributing to team discussions and problem-solving. Collaborate with cross-functional teams to understand data needs and deliver scalable solutions. Monitor and optimize data workflows for enhanced performance and reliability. Document processes meticulously and maintain clear communication with stakeholders. Support junior team members by sharing knowledge and technical expertise.

A strong foundation in AWS Glue is essential, alongside experience with cloud-based data integration and ETL tools. You should possess a solid understanding of data pipeline architecture and data warehousing concepts. The ability to troubleshoot and resolve data processing issues efficiently is crucial. Familiarity with scripting languages and automation techniques to improve data workflows is also required. A minimum of 3 years of relevant experience is necessary.