Amazon Web Services, Inc.
Operations, IT, Support Engineering, Data Engineering, Cloud Computing
DataEngineerII,AWSFieldExperienceInvestments
“Data Engineer II, AWS Field Experience - Investments at Amazon Web Services, Inc.. Skills: Data engineering, AWS, ETL, Data modeling. Design data pipelines. Implement data pipelines”
Industry & Context.
Problem solving; Root cause analysis
What They're Looking For.
Must Have
5+ years data structures experience, 5+ years ETL/ELT experience, 5+ years SQL experience, 5+ years Oracle experience, Data modeling experience, Data warehousing experience, Building ETL pipelines experience
Nice to Have
AWS technologies experience, Non-relational databases experience
What You'll Do.
Design data pipelines
Implement data pipelines
Implement ETL processes
Build storage solutions
Maintain storage solutions
Develop analytics workflows
Automate analytics workflows
Leverage GenAI services
Prototype intelligent features
Automate data workflows
Accelerate insight delivery
Apply GenAI ecosystem
Conduct rapid prototyping
Conduct proof-of-concepts
Develop automation tooling
Benchmark data collection
Validate data collection
Improve data collection
Benchmark data processing
Validate data processing
Improve data processing
Collaborate to ingest data
Collaborate to transform data
Collaborate to integrate data
Champion data integrity best practices
Champion testing best practices
Champion validation best practices
Champion monitoring best practices
Champion documentation best practices
Identify opportunities to improve reliability
Identify opportunities to improve scalability
Identify opportunities to improve efficiency
Solve problems at root
How You'll Work.
Team & Collaboration
Collaborate with product managers; Collaborate with program leaders; Collaborate with data scientists; Collaborate with technical partners; Cross-team collaboration
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