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Senior Analytics Engineer
8 months ago | 811 views | 1 applications

Senior Analytics Engineer


About the company

Founded seven years ago in Sydney, Australia, Afterpay has millions of active customers globally and is offered at the world’s best retailers around the world including Anthropologie, Revolve, DSW, GOAT, Finish Line, Levi’s, 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 – 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

📍Create brand new and optimize existing data models in the Commerce domain at Cash App. 📍Build 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. 📍Build 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. 📍Mentor and coach team members to adopt data modeling best practice, improve data engineering solutions, and adopt developing, testing, and release best practice. 📍Collaborate with external teams including data infrastructure, tooling, and raw data provision teams to keep updated on data engineering framework, tooling, and engineering excellence. 📍Enable stakeholders from less technical teams to self service data pipelines using UI-based task orchestration tools.


You have: 📍Background/knowledge in Computer Science, Applied Math, Engineering, Stats, Physics, or something comparable 📍7+ years of industry experience building complex, scalable ETLs for a variety of different business and product use cases. 📍3+ years of experience in ETL orchestration and workflow management tools like Airflow, Prefect 📍Experience working with Snowflake, Databricks, Redshift, PostgreSQL and/or other DBMS platforms. 📍Experience 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. 📍An interest in advancing Cash App's vision of building products for economic empowerment - this should be something that legitimately excites you 📍Comfortable working in fast paced environment, are a self starter and self organizing

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