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CommerceHub // hosted integration, drop-ship fulfillment & product content mgmt
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Today, CommerceHub is the #1 ecommerce network used by the worlds leading retailers & brands to extend their retail & ecommerce businesses. 

Consumer expectations have shifted. In the now economy, they expect that our customers have what they want, in stock, ready for delivery, & with an experience that delights them at every step of the buying journey. 

We believe we have a unique opportunity to help retailers, brands & suppliers connect to customers & meet the challenges of the now economy. Think that sounds interesting? It is!  

Our remote-first team is growing, & were looking to add great people like you, who are ready to use their expertise to transform the world of ecommerce. 

Job Summary

The ideal candidate is an experienced data pipeline builder who enjoys optimizing data systems & building them from the ground up. This role requires someone who is comfortable working across the organization to guide & support our engineers, data scientists, data analysts & product teams. The right candidate will be excited by the prospect of designing our companys long term cloud data architecture from the ground up to support our products & data initiatives.

Specific Duties

Responsible for the following:

  • Implement & maintain a data architecture built around automated ingestion, data security, compliance, & governance.

  • Implement the infrastructure required for optimal extraction, transformation, & loading of data from a wide variety of data sources using AWS data primitives.

  • Work with stakeholders including the Product, BI & Design teams to assist with data- related technical challenges & support their data infrastructure needs.

  • Develop both functional & non-functional requirements.

  • Support analytics through tools, processes, & pipelines.

  • Build & maintain the infrastructure required for optimal extraction, transformation, & loading of data from a wide variety of sources

  • Participate in full development life cycle including requirements development, implementation, peer review, source control, automated testing, deployment, & operations

  • Drive corporate policies around the evolution & enforcement of industry data standards & best practices

  • Mentor other data engineers as well as engineers & business leaders in all aspects of data management, lifecycle, security & compliance.

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