Position: Senior BI Data Engineer
Company: thredUP
Experience required: 5y
English level: intermediate

*How You Will Make An Impact:* 
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 data 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.

*In This Role You’ll Get To:*
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
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

*What We’re Looking For:*
Solid 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
Experience with AWS Data technologies (such as Redshift, S3, Glue)
Experience with orchestration tools like Airflow
Working experience with Python for Data processing.
Bachelor's or Master’s degree in computer science, information systems, or a related technical discipline
Well organized and able to manage multiple projects in a fast-paced, demanding environment
Excellent communication and problem solving skills
(Bonus) Experience with Databricks Spark, Delta Lake, Hadoop, or other Big Data technologies.
(Bonus) Experience working in an e-commerce industry

*What We Offer:*
Currently running a 4-day work week experiment, with Fridays off
Competitive salary (we leverage market data) + stock
Flexible paid time off (take the time you need) + public holidays
Paid sabbatical after 3 year anniversary
Generous paid parental leave for new mothers and fathers
Innovative tools: Google Workspace & Mac laptop
Reliable medical and dental insurance offered
Food delivery on Wednesdays
We live by our Core Values of Transparency, SpeakingUP, Thinking Big, Infinite Learning, Influencing Outcomes & Seeking the Truth
Voted “50 Most Innovative Companies of 2020”
RaaS — Honorable Mention in Fast Company’s World Changing Ideas Awards 2021