About the company
Founded seven years ago in Sydney, Australia, Afterpay has millions of active customers globally and is offered at the worldās best retailers around the world including Anthropologie, Revolve, DSW, GOAT, Finish Line, Leviās, Mac Cosmetics, Ray-Ban and many others. Afterpay is on a mission to power an economy in which everyone wins. Afterpay is completely free for customers who pay on time ā helping people spend responsibly without incurring interest, fees or extended debt. Afterpay empowers customers to access the things they want and need, while still allowing them to maintain financial wellness and control, by splitting payments in four, for both online and in-store purchases. Afterpay is deeply committed to delivering positive outcomes for customers. We are focused on supporting our community of shoppers. We trust in the next generation and share a vision of a more accessible and sustainable world in which people are rewarded for doing the right thing.
Job Summary
Key Responsibilities
šCreate brand new and optimize existing data models in the Commerce domain at Cash App. šBuild strong partnerships with Product Data Scientist, Product Manager, and Software Engineer teams by understanding their priorities and pain points and deliver values from our data, reporting, and interactive data products. šBuild reusable data engineering framework to improve the data quality, reliability, and scalability of our ETLs using a combination of tools like dbt, prefect, airflow, databricks, spark, etc. šMentor and coach team members to adopt data modeling best practice, improve data engineering solutions, and adopt developing, testing, and release best practice. šCollaborate with external teams including data infrastructure, tooling, and raw data provision teams to keep updated on data engineering framework, tooling, and engineering excellence. šEnable stakeholders from less technical teams to self service data pipelines using UI-based task orchestration tools.
Qualifications
You have: šBackground/knowledge in Computer Science, Applied Math, Engineering, Stats, Physics, or something comparable š7+ years of industry experience building complex, scalable ETLs for a variety of different business and product use cases. š3+ years of experience in ETL orchestration and workflow management tools like Airflow, Prefect šExperience working with Snowflake, Databricks, Redshift, PostgreSQL and/or other DBMS platforms. šExperience using CI/CD tools in data engineering pipelines. Experience using dbt in building and enriching data models. Experience in building interactive data products to automate internal business processes will be a plus. šAn interest in advancing Cash App's vision of building products for economic empowerment - this should be something that legitimately excites you šComfortable working in fast paced environment, are a self starter and self organizing
