Amazon.com Services LLC
Data Science, Data Engineering, worldwide grocery stores
DataEngineer,DataPlatformManagement
Neural analysis suggests this role is
optimal for Senior candidates.
“Data Engineer, Data Platform Management at Amazon.com Services LLC. Skills: Data engineering, Data modeling, ETL, Data infrastructure. Participate in on-call rotation. Provide support for reporting applications”
Industry & Context.
Root cause analysis
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 Database like NoSQL, Experience in Bigdata architecture, Experience includes analytical skills, Experience includes attention to detail, Experience includes effective communication
What You'll Do.
Participate in on-call rotation
Provide support for reporting applications
Provide support for analytical 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
Replace third-party solutions
Transform complex datasets
Create analytic deliverables
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 strategic objectives
Ensure business continuity
Define reporting strategy
Execute reporting strategy
Define analytics strategy
Execute analytics strategy
Collaborate with internal teams
Collaborate with external teams
Design data pipelines
Support data pipelines
How You'll Work.
Team & Collaboration
Cross-functional initiatives; Cross-functional teams; Data Engineers; Software Developers; Business Intelligence Engineers; Analysts; Product Managers; Program Managers
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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