Data Engineer for Thrasio (offline)

Requirements:
— Data quality engineering experience
— Data architecture experience
— Both scraping and ETL experience
— A clear understanding of ETL and data curation
— Strong experience and understanding of relational and distributed databases (including internals) (e.g. PostgreSQL, MySQL, Cassandra, etc.)
— Proven experience with Spark/PySpark, AirFlow
— Strong experience with AWS
— Strong expertise in Python, SQL
— Experience with continuous integration, test automation, and deployment
— Experience with data monitoring and tracing in distributed and service-oriented systems
— Experience in distributed systems design and best practices
— Understanding of integration with BI tools
— Advanced/fluent written and spoken English



Responsibilities:
— Work with the data engineering team and design the data platform
— Systematically work on formalizing business processes, customer acquisition lifecycles, and the overall data framework
— Actively participate in the development

About the project:

Thrasio is one of the fastest-growing acquirers of Amazon third-party FBA brands. Amazon has become the most ubiquitous part of the modern shopping experience and our company is positioned to be a leader in this vibrant and evolving marketplace.

Thrasio was established in 2018 with a clear mission: to become the largest, most profitable seller on Amazon. Since then, our growth has been dramatic; we have over $100MM in committed capital, with an impressive group of investors supporting our success.