Join the team as a Data Engineer in Decision Intelligence Technology at Amazon Web Services (AWS) . About the Role The AWS Kumo team is dedicated to providing innovative technology and expertise that anticipate and resolve customer needs, assisting them in adopting, optimizing, and operating at scale. Kumo's products, utilized by AWS customers and support teams, are crucial for delivering exceptional customer experiences on AWS. Our team oversees customer-facing applications such as Trusted Advisor, Personal Health Dashboard, AWS Forums, and Support Center, as well as internal tools like Case Management and Customer Event Management. We are a forward-thinking global organization transforming customer engagement with AWS. Your Responsibilities We seek a passionate Data Engineer who is excited by the insights generated from large data sets. Your role will involve: Enhancing our data architecture, ensuring data quality and availability. Collaborating with Data Scientists to implement analytics algorithms that leverage our extensive data sets for analysis and machine learning. Partnering with Business Analysts to construct and validate hypotheses aimed at improving AWS Support. Streamlining ongoing reporting and analysis processes to enhance self-service support for our customers. Staying informed about emerging big data technologies and experimenting with designs to scale data architecture in response to increasing customer experience data. About the Team At AWS, we value diverse experiences and encourage candidates from all backgrounds to apply, whether you meet all qualifications or not. We believe everyone has a unique contribution to make. Why Join AWS? Amazon Web Services (AWS) is recognized as the most comprehensive and widely adopted cloud platform worldwide. Our history of innovation has earned the trust of customers, from startups to Global 500 companies. Work-Life Harmony We prioritize work-life balance, supporting flexible work hours and arrangements to ensure you thrive both at work and home. Inclusive Culture We embrace diversity at AWS, fostering an inclusive environment driven by our employee-led affinity groups. Continuous learning and cultural events promote appreciation for our differences. Growth Opportunities We are committed to raising our performance standards and continuously provide resources for mentorship and development to help you grow as a professional. Basic Qualifications 3+ years of experience in data engineering. Proficient in data modeling, warehousing, and building ETL pipelines. Preferred Qualifications Familiarity with AWS technologies such as Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles. Experience with non-relational databases and data stores (e.g., object storage, document, or key-value stores). Compensation The compensation for this role varies from $118,900 to $205,600 annually, depending on location, experience, and other factors. We encourage you to apply if you're passionate about shaping the future of customer engagement at AWS.