Jobs / Ama***
Data Engineer, Data Platform Management, Worldwide Grocery Store Tech
Ama*** · Austin, TX, United States
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Austin, TX, United States101,300-160,000 USD/yearlyOnsite
Remuneration
101,300-160,000 USD/yearly
Location
Austin, TX, United States
Visa sponsorship
Sponsors visa
Job summary
DESCRIPTION Amazon's Worldwide Grocery Stores-Grocery Tech Foundation team is seeking an experienced Data Engineer to lead medium to large cross-functional strategic initiatives that support WWGS strategic goals. This is a unique opportunity for someone inspired by WWGS core values and is interested in Amazon’s high-growth grocery business to bring their whole self to the role.
Benefits
Learn more about ourAt https://amazon.jobs/en/USA, TX, AUSTIN - 101,300.00 - 160,000.00 USD annually
Qualifications
- Amazon's Worldwide Grocery Stores-Grocery Tech Foundation team is seeking an experienced Data Engineer to lead medium to large cross-functional strategic initiatives that support WWGS strategic goals.
- design and implement scalable data model, ETL processes and reporting to address business needs.
- Design and build next-generation data infrastructure to replace existing third-party solutions.
- Collaborate cross-functionally with Data Engineers, Software Developers, Business Intelligence Engineers, Analysts, Product Managers, and Program Managers.
- Transform complex datasets into automated, digestible analytic deliverables.
- Demonstrate strong organizational
- 3+ years of data engineering experience
- Experience with AWS
- AWS certification, such as, AWS Solutions Architect, or a similar cloud certification, or Associate's degree or above
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
- Experience in Database like NoSQL, or experience in any Bigdata architecture and experience that includes strong analytical
- and location.
Responsibilities
- Participate in on-call rotation to provide support for custom-built reporting and analytical applications, ensuring business-as-usual operations and timely data delivery for business users.
- Lead data integration, reporting, and analytics projects, leveraging experience in enterprise data engineering.
- Understand business
Skills
CommunicationElectronic Health RecordsLeadership
Degrees
AssociateDegree
Work schedule
NightOn-callRotationShift
Industry
AutomotiveEnergyInsuranceLogistics
Company size
EnterpriseSmb