Amazon Web Services, Inc.
Technology
DataEngineer,AWSMarketingD:SE
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Engineer, AWS Marketing D:SE at Amazon Web Services, Inc.. Skills: Data engineering, Data warehousing, ETL. Design platform for ad-hoc access. Implement platform for ad-hoc access”
Industry & Context.
Data-driven decisions
What They're Looking For.
Must Have
Bachelor's degree, 3+ years data engineering experience, 1+ years developing large-scale data structures, SQL experience
Nice to Have
Experience with AWS technologies, Experience with non-relational databases
What You'll Do.
Design platform for ad-hoc access
Implement platform for ad-hoc access
Support platform for ad-hoc access
Extract data from data sources
Transform data from data sources
Load data from data sources
Build data integration pipelines
Build scalable data integration pipelines
Implement data structures
Gather business customer requirements
Deliver reporting solutions
Build datasets for business analysts
Build datasets for customer reporting
Deliver datasets for business analysts
Deliver datasets for customer reporting
Improve reporting processes
Improve analysis processes
Automate support for customers
Simplify support for customers
How You'll Work.
Team & Collaboration
Interface with technology teams; Interface with business customers
Communication Scope
Business communication
Full Job Description
Sales, Marketing and Global Services (SMGS) AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. Mission Statement The AWS Marketing Data: AI Science, Analytics and Engineering (D:SE) team owns analytics, reporting and self-service tooling, data representation, machine learning models, measurement, valuation and economics products for AWS Marketing. We are the central data and science organization, and we work with different teams in AWS Marketing to drive better measurement, increase experimentation velocity, improve data access and analytical self-service, deploy and test ML-powered targeting models, drive higher economic value, and empower strategic decisions with business deep dives. We enable other analytics, BI, and science teams across AWS Marketing through mechanisms, partnerships and scalable tools. We work globally as a central team and establish standards, benchmarks, and best practices for use throughout AWS Marketing. Overview Would you like to support increasing customer base and the revenue for AWS, a market-leading cloud offering? Would you like to be part of a team focused on increasing awareness and adoption of the AWS platform by analyzing customer's behavior on and outside AWS websites? Do you want to empower our AWS Marketing organization make data-driven decisions that further establish AWS as leader in the cloud computing world? As a Data Engineer at AWS, you will be working in a large, extremely complex and dynamic data warehousing environment. We are looking for someone with the uncanny ability to integrate mult
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