Data Engineer - Retail Media

July 27

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Search • E-commerce • Product Discovery • Personalization • SaaS

51 - 200

💰 $55M Series A on 2021-09

Description

• Deliver new reports and tools for merchandizers and analysts from e-commerce companies • Improve the existing dashboard experience by building analytics that provide insights to improve KPIs • Perform data exploration and research user behavior • Implement end-to-end data pipelines to support realtime analytics for important business metrics • Take part in product research and development, iterate with prototypes and customer product interviews

Requirements

• You're proficient at PySpark and Python (python, databricks, luigi) • You are proficient in BI tools (data analysis, building dashboards for engineers and non-technical folks) • You are an excellent communicator with the ability to translate business asks into a technical language and vice versa • You are excited to leverage massive amounts of data to drive product innovation & deliver business value • You are proficient at SQL (any variant), well-versed in exploratory data analysis with Python (pandas & numpy, data visualization libraries). Big plus is practical familiarity with the big data stack (Spark, Presto/Athena, Hive) • You are adept at fast prototyping and providing analytical support for initiatives in the e-commerce space by identifying & focusing on relevant features & metrics • You are willing to develop and maintain effective communication tools to report business performance and inform decision-making at a cross-functional level • Stack: python, numpy, pandas, SQL, pyspark, flask, docker, git

Benefits

• Unlimited vacation time -we strongly encourage all of our employees take at least 3 weeks per year • A competitive compensation package including stock options • Company sponsored US health coverage (100% paid for employee) • Fully remote team - choose where you live • Work from home stipend! We want you to have the resources you need to set up your home office • Apple laptops provided for new employees • Training and development budget for every employee, refreshed each year • Parental leave for qualified employees • Work with smart people who will help you grow and make a meaningful impact