ABOUT THE COMPANY
Bonfire is transforming the way people buy and sell high-quality custom apparel. We are a free online platform where anyone can design, sell, and buy custom products. We’ve helped thousands of individuals, groups, and nonprofits raise money for the causes they care about, and also serve the world’s top creators as their premiere custom merch platform. We’re a passionate, creative, and data-driven team constantly pursuing our vision: to strengthen communities that inspire a kinder world. We bring this vision to life by hiring passionate, smart people who celebrate and respect others, are committed to a life of curiosity, are never satisfied with ‘good enough’, are eager to co-create the future, and who thrive through teamwork. Have we been looking for you?
ABOUT THE JOB
Bonfire is looking for Senior Data Engineer which will be responsible for designing and building solutions for collecting, organizing and using data. You will help to build the data pipelines that serve information to our analysts, stakeholders and other end-users to help them make informed decisions. We need your help to own our tooling, process, data definition, and even help with departmental goals.
This role lies within our Data department and reports to the Chief Technology Officer.
All Bonfire employees are expected to embrace the Mission and Values, we live together and apart:
Humble Ingenuity, Trusting Partnerships, Inclusive Cooperation, Moral Courage, Healthy Dissatisfaction
This contractor role is only open to candidates located in Europe or South America.
ESSENTIAL RESPONSIBILITIES
include but are not limited to:
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Create and execute a departmental strategy to achieve company-wide goals
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Build and maintain our Data Lake and Data Warehouse
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Own all definitions, models, and dimensions in our Data department
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Provide data-access tools, and help us integrate Tableau deeper with our data sources
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Work on Data Architecture - use a systematic approach to plan, create, and maintain data architectures while also keeping it aligned with business requirements.
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Ensure data integrity and optimized storing of business data
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ETL / ELT
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Data pipeline maintenance/testing
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Develop departmental OKRs, create a roadmap with clear priorities for the team