Amazon Web Services, Inc.

Technology

DataEngineer,WWSOSAFieldInitiatives

$119–206k New York, New York, United States FULL TIME
The Brief

“Data Engineer, WWSO SA Field Initiatives at Amazon Web Services, Inc.. Skills: Data Engineering, ETL Pipelines, Data Integration, AWS Services. Design integrations with external data sources. Implement integrations with external systems”

Industry & Context.

Technology

What They're Looking For.

Must Have

3+ years data engineering experience, Experience with data modeling, Experience with warehousing, Experience building ETL pipelines

Nice to Have

Experience with AWS technologies, Knowledge of professional software engineering, Best practices for full software development life cycle

What You'll Do.

Design integrations with external data sources

Implement integrations with external systems

Develop data ingestion pipelines

Maintain data ingestion pipelines

Collaborate with external teams

Understand data models

Establish integration patterns

Monitor data ingestion processes

Optimize data ingestion processes

Design data export pipelines

Develop data export pipelines

Maintain data export pipelines

Build relationships with data warehouse teams

Build relationships with data consumers

Understand consumer needs

Understand consumer requirements

Ensure data consistency

Implement monitoring for data pipelines

Implement alerting for data pipelines

Develop understanding of product data domain

Develop understanding of business context

Support business stakeholders

Perform ad-hoc data analysis

Conduct investigations

Design self-service dashboards

Build self-service dashboards

Provide guidance on data availability

Provide guidance on data structure

Provide guidance on data consumption best practices

Participate in code reviews

Contribute to technical standards

Improve data infrastructure

Improve data processes

Align data solutions with product architecture

Review internal data access patterns

Work with engineering team on improvements

How You'll Work.

Team & Collaboration

External teams; Downstream data warehouse teams; Data consumers; Business stakeholders; Software engineers; Business teams

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