Description Global Logistics (GL) Analytics team's vision is to create a centralized data lake across GL to empower stakeholders to make data-driven decisions and derive insights. We are looking for a Data Engineer with a passion for building systems that have a measurable impact. The right candidate will be innovative and technically versatile, helping build a CI/CD infrastructure for scalable ETL pipelines used for business and operational performance on a daily basis. You will be working with Software Development teams in our organization to create a scalable framework for Data Instrumentation. Additionally, you will provide analytical support to BIEs, PMs, and other data roles. Design and develop data ingestion platforms that can handle large datasets at scale. Key job responsibilities - Manage and administer data platform built on AWS services such as Redshift, Kinesis, S3, Lambda etc - Develop and improve the current data architecture, data quality, monitoring and data availability - Help continually improve ongoing reporting and analysis processes, simplifying self-service support for customers - Provide technical and thought leadership for Data Engineering and Business Intelligence within Global Mile A day in the life Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan Learn more about our benefits here: https://www.amazon.jobs/en/internal/benefits/us-benefits-and-stock Basic Qualifications - 3+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines Preferred Qualifications - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) - If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.