As a Data Engineer, you will architect, build, and manage robust data solutions essential for data generation, collection, and processing. Your role involves crafting efficient data pipelines, ensuring high data quality, and implementing comprehensive ETL processes for seamless data migration and deployment across systems. You will partner with cross-functional teams to grasp data needs and contribute to the organization's data strategy, ensuring solutions are scalable, performant, and aligned with business objectives. Continuous monitoring and optimization of data workflows will be key to enhancing reliability and making data readily accessible and actionable for stakeholders.

- Independently perform duties and develop expertise. - Actively participate and contribute to team discussions. - Provide effective solutions to work-related challenges. - Collaborate with data scientists and analysts to understand and fulfill data requirements. - Design and implement data models supporting business intelligence and analytics.

This role demands a minimum of 3 years of experience in AWS Analytics, coupled with a strong understanding of data warehousing solutions and data lake architectures. Proficiency in ETL processes, data integration techniques, and data governance frameworks is essential. Familiarity with programming languages like Python or SQL for data manipulation is also required. A minimum of 15 years of full-time education is a prerequisite for this position.