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

Your expertise will be crucial in building efficient data pipelines, ensuring the integrity and quality of our data, and implementing sophisticated ETL processes for seamless data migration and deployment across systems. This role offers a fantastic opportunity to contribute to critical data infrastructure and analytics efforts.

Independently tackle complex data engineering challenges and strive to become a subject matter expert. Actively participate and contribute valuable insights during team discussions and collaborative problem-solving sessions. Partner with cross-functional teams to deeply understand data needs and deliver scalable, high-quality data solutions.

Monitor and optimize existing data pipelines to guarantee peak performance and unwavering reliability. Create comprehensive documentation for data processes and workflows to foster knowledge sharing and maintain operational clarity. Support junior team members by offering guidance, mentorship, and assistance with their assigned tasks.

A strong foundation in Data Engineering is a must-have. Proficiency in programming languages like Python and Java, along with experience in AWS Glue, would be highly beneficial. Demonstrated expertise in designing and implementing data pipeline architecture and ETL frameworks. Solid understanding of various data storage solutions, including relational and non-relational databases. Familiarity with cloud-based data services and infrastructure is expected.

Proven ability to efficiently troubleshoot and resolve data processing issues. A minimum of 3 years of dedicated experience in Data Engineering is required. Successful candidates will possess 15 years of full-time education.