— 5+ of hands-on experience in data modeling, ETL, data warehousing, and transformation of large scale data sources using SQL, Redshift, or other Big Data technologies.
— Proficient in SQL and at least one scripting language such as Python
— Experience with at least 1 Business Intelligence tools such as Looker, Tableau or PowerBI
— Proficiency with analytical SQL and knowledge of how to optimize, troubleshoot, and refactor existing queries
— Proficient in Excel to be able to interpret logic, flows coded in workbooks
— Working knowledge of ETL job orchestration tools like Airflow
— Curious to identify and resolve data quality issues in Reporting or new products built by Fintech team
— Experience with AWS Data technologies (such as Redshift, S3, Glue)
— Knowledge of ERP systems such as Netsuite, SAP or Oracle would be plus
— Experience working with the Finance team as an analytics engineer
— Experience with Spark or other Big Data technologies.
— Experience working in an e-commerce industry
— Currently running a
— 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
— Spacious office at Protasiv Yar open 24/7
— Food delivery on Wednesdays
— We live by our Core Values of Transparency, SpeakingUP, Thinking Big, Infinite Learning, Influencing Outcomes & Seeking the Truth
— Take part in establishing and defining testing strategy for Data that powers Financial reporting
— Design and develop repeatable Data QA/Test frameworks or function for early detection of data issues that might occur in future
— Design and implement test cases for different ETL jobs that produce fact tables or reports
— Build unified notification system for monitoring data gaps across various domains such as Revenue, Inventory, Loyalty etc
— 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
— Ability to troubleshoot data quality issues, reconcile data from different systems using repeatable frameworks
— Explore/analyze data and work with FP&A team for any new data models that affect P&L of the business
At thredUP, we’re working to revolutionize the clothing industry and we’re looking for an experienced Software engineer specialized in data systems with an eye for data integrity, quality and completeness . You would join a new vertical named “Fintech” who are responsible for Finance data marts, Data quality and governance for Revenue, Inventory and many more systems.
You will work in a highly collaborative environment of engineers, data analysts, finance , accounting 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.