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Key job responsibilities
A day in the life
You start the day responding to an email, and start a brief chat to align on requirements with a stakeholder. You hop into a code review, accepting most of the feedback, but noting an area to discuss. You go heads down for a while working on your current story. After standup, you help a peer struggling with a dataset you know, and discuss their CR feedback. In the afternoon you attend a presentation on how to implement effective data models for Machine Learning, spurring ideas for how to improve Shopbop’s personalization data feed. You attend the weekly operational review, and are pleased to see a fix you made has reduced total run time on a critical job by 40%. You finish up the day by working on your primary deliverable before signing off.
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
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