Join us to explore the opportunity of becoming a Data Engineer II in AWS Analytics Engineering. As part of the Utility Computing (UC) organization, you will contribute to innovations in foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), while also supporting the management of Compute, Database, Storage, and other key services. AWS is committed to creating an inclusive team culture where diverse experiences are valued. If your career path includes alternative experiences or unique qualifications, we encourage you to apply. We value work-life harmony and strive for flexibility which enhances both workplace support and personal well-being. You will be a key player in the AWS Product BI team, responsible for addressing the business intelligence needs across various product families such as Compute, Storage, and Networking. Your work will empower stakeholders to make informed, data-driven decisions through detailed reporting, analyses, and data management. Key Responsibilities: Design, develop, and implement data management and business intelligence systems to support decision-making. Create secure, scalable, and cost-effective data solutions utilizing advanced data storage technologies. Collaborate with business stakeholders to gather requirements and architect effective data solutions. Ensure technical infrastructure meets performance and availability standards. Review and test data designs and tool functionalities. Basic Qualifications: 5+ years of data engineering experience. Proficiency in data modeling, warehousing, and building ETL pipelines. Bachelor's degree. Preferred Qualifications: Experience with AWS technologies such as Redshift, S3, AWS Glue, EMR, Kinesis, and Lambda. Familiarity with non-relational databases and data stores. Amazon is an equal opportunity employer committed to a diverse workforce. We encourage applications from individuals with disabilities and assure accommodations during the hiring process. This position is based in our office with specific pay ranges reflecting labor costs in respective geographic markets.