Join our team as a Data Engineer to design, develop, and maintain robust data solutions. You'll be instrumental in creating data generation, collection, and processing pipelines, ensuring data integrity, and implementing ETL processes for seamless data migration. This role is crucial for building and optimizing our data infrastructure to support advanced analytics and business intelligence initiatives.

Key responsibilities include independently driving projects and becoming a subject matter expert. Active participation in team discussions and collaborative problem-solving is expected. You will also work with cross-functional teams to gather data requirements, develop scalable solutions, and monitor data pipelines for optimal performance and reliability. Documenting processes and mentoring junior team members are also integral parts of this role.

We are seeking candidates with a minimum of 2-5 years of experience, with a strong emphasis on AWS Glue. Proficiency in PySpark and a solid understanding of data integration and ETL concepts are highly desirable. Familiarity with cloud-based data services and the ability to troubleshoot data pipeline issues efficiently are essential. A background of 15 years of full-time education is required for this position.