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Come work with us! Building the worlds largest platform for like-new clothing is a unique and exciting opportunity and a chance to improve the lives of families while reducing our impact on the planet.

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thredUP Inc.
114 Sansome St
5th Floor
San Francisco, CA 94104

hireme@thredup.com

Senior Data Engineer - Business Intelligence

San Francisco, CA - Full-time

apply now
About thredUP

thredUP is the largest online marketplace for secondhand clothing. We make buying and selling a cinch for millions of women across the globe. The company resells more than 35,000 brands across hundreds of categories at up to 90% off the estimated retail value. Headquartered in downtown San Francisco and backed by world-class investors, thredUP is reinventing the secondhand clothing industry and inspiring a new generation of consumers to think secondhand first.

About the Role

At thredUP, we’re working to revolutionize the clothing industry and we're looking for an experienced Business Intelligence engineer to help grow the foundation of our data warehouse and Business Intelligence infrastructure., You will work in a highly collaborative environment of data engineers, data analysts, domain experts and business leaders to deliver data solutions that alter how the secondhand clothing industry is perceived. If you are excited by recent developments in cloud data technologies and the ability to solve complex problems with an engineering team that is passionate about our culture, the quality of our code, and building a successful company, we'd love to hear from you.

Responsibilities

  • Designing, implementing and maintaining data warehouse/ business intelligence solutions which will handle growing business needs
  • Translate business questions and concerns into specific quantitative questions that can be answered with available data using sound methodologies. In cases where questions cannot be answered with available data, work with engineers to produce the required data.
  • Automate, optimize, and maintain ETL flows in a repeatable, scalable manner
  • Ability to handle and respond to ad-hoc data support/analytical requests
  • Explore/analyze data and work with Marketing Managers, Data Scientists and Product Managers to understand customer behaviors, performance and benchmark performance metrics
  • Well organized and able to manage multiple projects in a fast-paced demanding environment

Requirements

  • 3+ years of experience in data modeling, ETL, data warehousing, and transformation of large scale data sources using SQL, Redshift or other Big Data technologies.
  • Proficiency with analytical SQL and knowledge of how to optimize and troubleshoot
  • BI Reporting experience with tools such as Looker or Tableau
  • Bachelor's or Master’s degree in computer science, information systems, or a related technical discipline
  • Experience with AWS Data technologies (such as Redshift, S3,Glue, and Kinesis)
  • Familiarity  with Python or any other scripting language
  • Excellent communication and problem solving skills
  • (Bonus) Experience with Spark, Hadoop or other Big Data technologies.
  • Bonus) Experience working in a e-commerce industry