Amazon.com Services LLC
Business Intelligence, Data Engineering, selling partner services
DataEngineer,SPTC
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Engineer, SPTC at Amazon.com Services LLC. Skills: Data engineering, Data modeling, ETL pipelines, Data pipelines. Unify fragmented data pipelines. Build robust data models”
Industry & Context.
Problem-solving skills
What They're Looking For.
Must Have
3+ years data engineering experience, 1+ years ETL/ELT experience, 1+ years OLAP technologies experience, 1+ years data modeling experience, 1+ years SQL experience, 1+ years Oracle experience, Experience with data modeling, Experience with warehousing, Experience building ETL pipelines
Nice to Have
Experience with AWS technologies, Experience with non-relational databases
What You'll Do.
Unify fragmented data pipelines
Build robust data models
Ensure reliable data lineage
Develop data solutions
Architect data pipelines
Implement data pipelines
Support business operations
Design data modeling standards
Enforce data modeling standards
Design data lineage frameworks
Enforce data lineage frameworks
Design governance frameworks
Enforce governance frameworks
Drive engineering best practices
Build data frameworks
Support batch processing
Support real-time processing
Enable flexible analytics
Enable efficient analytics
Implement secure data solutions
Implement compliant data solutions
Meet regulatory requirements
Evaluate emerging technologies
Introduce emerging technologies
Improve data platform performance
Improve data platform cost efficiency
Improve data platform scalability
Gather data requirements
Define solution architectures
Ensure alignment with business needs
Mentor junior engineers
Contribute to team hiring
Contribute to team onboarding
How You'll Work.
Team & Collaboration
Partner with software engineers; Partner with product managers; Partner with analytics teams; Collaborate with cross-functional teams
Full Job Description
As we strive to be Earth's most customer-centric company, Amazon has reinvented how hundreds of millions of people shop online – providing customers with the opportunity to find and discover virtually anything they want to buy and providing millions of sellers with a platform for growing successful businesses. We are looking for an exceptional data engineer to help us develop new ways to build trust and loyalty with sellers, a crucial component of our flywheel Sellers’ trust in Amazon is our top priority and in this role, you will be tasked with building that trust over time by building and maintaining the data sources that power all of our decision making. Amazon’s growth requires leaders who move fast, have an entrepreneurial spirit to create new solutions, have an unrelenting tenacity to get things done, and are capable of breaking down and solving complex problems. The successful candidate will be a self-starter, comfortable with ambiguity and be able to create and maintain efficient & automated processes. They know and love working with data engineering tools, can model multidimensional datasets, and can partner effectively with business leaders to build the right data pipelines to answer key business questions. They will build efficient, flexible, extensible, and scalable data models, ETL designs and data integration services. They will also be required to support and manage growth of these data solutions. They are analytical and creative, and don’t quit. This is a role with high visibility to senior leadership and with high opportunity for impact for those willing to roll up their sleeves and dive deep to achieve results. Key job responsibilities In this role, you will work on unifying fragmented data pipelines, building robust data models, and ensuring reliable data lineage across multiple product areas. You will partner closely with software engineers, product managers, and analytics teams to develop data solutions that drive innovation and operational exce
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