Data Engineer, eCS Data Engineering and AnalyticsAre you passionate about data and code? Does the prospect of dealing with mission-critical data excite you? Do you want to build data engineering solutions that process a broad range of business and customer data? If so, then the eCommerce Services (eCS) team is for you!
In eCommerce Services (eCS), we build systems that span the full range of eCommerce functionality, from Privacy, Identity, Purchase Experience and Ordering to Shipping, Tax and Financial integration. eCS services determine sales tax and shipping charges, and we ensure the privacy of our customers. Our mission is to provide a commerce foundation that accelerates business innovation and delivers a secure, available, performant, and reliable shopping experience to Amazon's customers.
The goal of the eCS Data Engineering and Analytics team is to provide high quality, on-time reports to Amazon business teams, enabling them to expand globally at scale. Our team has a direct impact on retail CX, a key component that runs our Amazon fly wheel.
As a Data Engineer, you will own the architecture of DW solutions for the Enterprise using multiple platforms. You will lead the design, creation, and management of extremely large datasets working backwards from business use cases. You will use your strong business and communication skills to collaborate with business analysts and engineers to design the data warehouse for reporting and analytics. You will be responsible for designing and implementing scalable ETL processes in the data warehouse platform to support the rapidly growing and dynamic business demand for data.
Key job responsibilitiesDevelop data products, infrastructure, and data pipelines leveraging AWS services (such as Redshift, Kinesis, EMR, Lambda) and internal BDT tools (DataNet, Cradle, Quick Sight).Improve existing solutions and develop next generation Data Architecture to enhance scale, quality, timeliness, coverage, monitoring, and security.Develop new data models and end-to-end data pipelines.Create and implement Data Governance strategy for mitigating privacy and security risks.BASIC QUALIFICATIONS3+ years of data engineering experienceExperience with data modeling, warehousing, and building ETL pipelinesExperience with SQLPREFERRED QUALIFICATIONSExperience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissionsExperience with non-relational databases/data stores (object storage, document or key-value stores, graph databases, column-family databases)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.
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