Amazon.com Services LLC

Business Intelligence, Data Engineering, selling partner services

DataEngineer,SPTC

$100–179k Seattle, Washington, United States FULL TIME
The Brief

“Data Engineer, SPTC at Amazon.com Services LLC. Skills: Data engineering, Data modeling, ETL pipelines. Unify fragmented data pipelines. Build robust data models”

Industry & Context.

Business Intelligence, Data Engineering, selling partner services
Problems you'll solve

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 scalable data pipelines

Implement scalable data pipelines

Build scalable data pipelines

Architect reliable data pipelines

Implement reliable data pipelines

Build reliable data pipelines

Architect secure data pipelines

Implement secure data pipelines

Build secure data pipelines

Architect data infrastructure

Implement data infrastructure

Build data infrastructure

Design data modeling standards

Enforce data modeling standards

Design data lineage standards

Enforce data lineage standards

Design governance frameworks

Enforce governance frameworks

Drive engineering best practices

Build data frameworks

Implement secure data solutions

Meet regulatory requirements

Evaluate emerging technologies

Introduce emerging technologies

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

Free ATS check

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