Amazon.com Services LLC

Grocery Tech

DataEngineer,DataPlatformManagement,GroceryTechFoundations

$100–179k Austin, Texas, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Data Engineer, Data Platform Management, Grocery Tech Foundations at Amazon.com Services LLC. Skills: Data Engineering, Data Modeling, ETL, AWS. Participate in on-call rotation. Provide support for applications”

What You'll Achieve.

Timely data delivery; Deliver business value; Deliver on strategic vision; Deliver on objectives

Industry & Context.

Grocery Tech
Problems you'll solve

Analytical skills

Eligibility Requirements

On-call rotation

What They're Looking For.

Must Have

5+ years data engineering experience, 3+ years data warehouse technical architectures, 3+ years data modeling, 3+ years ETL/ ELT, 3+ years reporting/analytic tools, 3+ years data structures, 3+ years hands-on SQL coding, Experience with AWS technologies, Experience using business intelligence reporting tools, Experience with any ETL tool, Experience with Python, Pyspark or equivalent, Experience in reverse engineering legacy applications

Nice to Have

AWS certification, Associate's degree or above, Experience with non-relational databases, Experience in Bigdata architecture, Experience includes analytical skills, Experience includes attention to detail, Experience includes effective communication abilities

What You'll Do.

Participate in on-call rotation

Provide support for applications

Ensure business-as-usual operations

Ensure timely data delivery

Lead data integration projects

Lead reporting projects

Lead analytics projects

Understand business requirements

Design scalable data model

Implement scalable data model

Implement ETL processes

Design data infrastructure

Build data infrastructure

Transform complex datasets

Automate analytic deliverables

Digest analytic deliverables

Demonstrate organizational skills

Demonstrate decisiveness

Demonstrate ownership

Drive impact through design

Drive impact through architecture

Drive impact through development

Contribute technical expertise

Transition organization from legacy solutions

Partner with data engineering team members

Deliver on strategic vision

Deliver on objectives

Ensure business continuity

Define reporting strategy

Execute reporting strategy

Define analytics strategy

Execute analytics strategy

Collaborate with teams

Design data pipelines

Support data pipelines

How You'll Work.

Team & Collaboration

Cross-functionally with Data Engineers; Cross-functionally with Software Developers; Cross-functionally with BI Engineers; Cross-functionally with Analysts; Cross-functionally with Product Managers; Cross-functionally with Program Managers; With internal teams; With external teams; With data engineering team members; With Grocery business users; With multiple teams

Process & Methodology

Jira management

Full Job 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. Key job 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 requirements, 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 skills, decisiveness, and ownership while working in a team environment. - Drive significant impact through modernized design, architecture, and development of data products. - Contribute technical expertise to help transition the organization from legacy solutions to future-state data infrastructure. - Partner with data engineering team members to deliver on strategic vision and objectives. A day in the life Ensure business continuity and on-time data delivery to business users. Work with your leadership to define and execute the reporting and analytics strategy for WWGST. This will involve leveraging your Data Modeling, SQL and coding skills in languages like Python, Pyspark and Java to extract, transform, and load data. You will collaborate closely with both internal and external te

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