Shape and manage sophisticated data solutions for generation, collection, and processing. This role focuses on constructing resilient data pipelines, upholding data integrity, and implementing robust ETL processes for seamless data migration and deployment across systems. Responsibilities include proactive participation in team discussions and offering solutions to complex challenges.

Drive the design, development, and upkeep of data solutions. Build and optimize data pipelines, ensuring high data quality and efficient ETL processes for cross-system migration. Become a subject matter expert, actively contributing to team discussions and problem-solving. Collaborate with various teams to understand data needs and deliver scalable solutions, while monitoring and troubleshooting pipelines for optimal performance.

Requires proficiency in AWS Glue and PySpark for data pipeline development and ETL implementation. Possesses a strong understanding of cloud-based data processing and storage, with the ability to optimize workflows for performance and cost. Familiarity with data quality frameworks and scripting for automation is essential. A minimum of 2 years' experience with AWS Glue is necessary, alongside a full-time education spanning 15 years.