Data Engineer, eCS Data Engineering and Analytics Are 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?
Do you want to continuously improve the systems that enable annual worldwide revenue of hundreds of billions of dollars?
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 manages several aspects of the customer life cycle, starting from account creation and sign-in, to placing items in the shopping cart, proceeding through checkout, order processing, managing order history, and post-fulfillment actions such as refunds and tax invoices.
eCS services determine sales tax and shipping charges, ensuring 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 flywheel.
As a Data Engineer, you will own the architecture of DW solutions for the Enterprise using multiple platforms.
You will have the opportunity to 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 work with business analysts and engineers to determine how best 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 and deliver the data as a service, which will have an immediate influence on day-to-day decision-making.
Key job responsibilities Develop data products, infrastructure, and data pipelines leveraging AWS services (such as Redshift, Kinesis, EMR, Lambda, etc.)
and internal BDT tools (DataNet, Cradle, Quick Sight, etc.
). Improve existing solutions and come up with next-generation Data Architecture to improve scale, quality, timeliness, coverage, monitoring, and security. Develop new data models and end-to-end data pipelines. Create and implement a Data Governance strategy for mitigating privacy and security risks. BASIC QUALIFICATIONS 3+ years of data engineering experience. Experience with data modeling, warehousing, and building ETL pipelines. Experience with SQL. Bachelor's degree. 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). Our inclusive culture empowers Amazonians to deliver the best results for our customers.
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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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