The Data Platform team is responsible for making Sift’s data accessible across a variety of users and use-cases. This team ensures the availability, correctness, and data privacy/ compliance of information critical for Sift’s day-to-day operations. Our customers include not just external clients but also Sift’s data science product teams, our sales, business support services and operations teams. We are super excited about our plans to build our next generation data analytics solution as we approach a phase where we start diving into reporting/visualization and real time accessibility to data across Sift.
What you’ll do:
As an engineer on Sift’s Data Platform team, you will build data warehousing and business intelligence systems to empower engineers, data scientists, and analysts to extract insights from our data. You will design and build Petabyte scale systems for high availability, high throughput, data consistency, security, and end user privacy, defining our next generation of data analytics tooling. You will do data modeling and ETL enhancements to improve efficiency and data quality. You will mentor other engineers and promote data engineering best practices across the organization.
What would make you a strong fit:
Bonus points:
Alittle about us:
Sift is the leading innovator in Digital Trust & Safety. Hundreds of disruptive, forward-thinking companies like Zillow, and Twitter trust Sift to deliver outstanding customer experience while preventing fraud and abuse.
The Sift engine powers Digital Trust & Safety by helping companies stop fraud before it happens. But it’s not just another anti-fraud platform: Sift enables businesses to tailor experiences to each customer according to the risk they pose. That means fraudsters experience friction, but honest users do not. By drawing on insights from our global network of customers, Sift allows businesses to scale, win, and thrive in the digital era.
Benefits and perks:
Sift is an equal opportunity employer. We make better decisions as a business when we can harness diversity in our experience, data, and background. Sift is working toward building a team that represents the worldwide customers that we serve, inclusive of people from all walks of life who can bring their full selves to work every day.
This document provides transparency around the way in which Sift handles personal data of job applicants: https://sift.com/recruitment-privacy