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Faire // platform connecting independent retailers w/ manufacturers
Engineering, Full Time    Toronto/Kitchener    Posted: Saturday, April 24, 2021
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Faire is an online wholesale marketplace built on the belief that the future is local there are over 1M independent retailers in the U.S. & Canada doing more than twice the revenue of Walmart & Amazon combined. At Faire, we're using the power of tech, data, & machine learning to connect a thriving community of over 100,000 brands & local retailers around the world. Picture your favorite boutique in town we help them discover the best products to sell in their stores. With the right tools & insights, we believe that we can level the playing field so that small businesses can compete with these big box & ecommerce giants. Were looking for smart, resourceful & passionate people to join us as we power the shop local movement.

Job Description

The Data Engineering team is the backbone of all data-related processes & enables the Data Science team to develop & deploy a wide variety of algorithms & models that power the marketplace. Our infrastructure is used by the whole company for analytics, reporting, forecasting & research. We care about having a reliable infrastructure with quality data & building machine learning models that help our customers thrive. 

As a Senior Data Engineer youll be responsible for developing & automating large scale, high-performance data storage & processing systems.

Our team already includes experienced Data Scientists & Engineers from Airbnb, Facebook, Quora, Square, Uber, TripAdvisor, & Overstock. Faire will soon be known as a top destination for data science & machine learning, & you will help take us there!

What you will be doing: 

  • Develop our machine learning infrastructure to help us scale for where were going over the next several years
  • Manage our data infrastructure & ETL platform

What it takes:

  • 4+ years experience in a Data Engineering role with an emphasis on managing data warehouses
  • Strong skills in Python, Git, Docker, SQL, Airflow, ETL pipelines
  • Familiarity with at least one of: Hive, Presto, Snowflake, AWS Redshift, BigQuery
  • A passion for programming & solving problems with code
  • A bachelor's degree in Computer Science/Software Engineering or equivalent industry experience
  • A love for technology, & an insatiable curiosity for new tools to tackle real problems 

Why youll love working at Faire: 

  • We are entrepreneurs: We believe entrepreneurship is a calling & our mission is to empower entrepreneurs to chase their dreams. Every member of our team is an owner of the business & taking part in the founding process.
  • We are using tech & machine learning to level the playing field: We are using the power of technology & data to connect brands & boutiques from all over the world, building a thriving community of over 100,000 small business owners.
  • We build products our customers love: Everything we do is ultimately in the service of helping our customers grow their business because our goal is to grow the pie - not steal a piece from it. Running a small business is hard work, but using Faire makes it easy.
  • We are curious & resourceful: We always find a way to get the job done & come up with creative solutions to whatever problems are standing in our way. People at Faire are insatiably curious. We lead with curiosity & data in our decision making & reason from a first principles mindset. 

Faire was founded in 2017 by a team of early product & engineering leads from Square. Were backed by some of the top investors in retail & tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, & DST Global. We have offices in San Francisco, Kitchener-Waterloo, & Salt Lake City. Were looking for smart, resourceful & passionate people to join us as we power the shop local movement. To learn more about Faire & our customers, you can read more on our blog

Faire is being built for entrepreneurs, by entrepreneurs.

Additional Information

Faire provides equal employment opportunities (EEO) to all employees & applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.

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