Riskified

Data Engineer

Tel Aviv, Israel
Description

About Us

Riskified empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, Riskified’s AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. Riskified is proud to work with incredible companies in virtually all industries including Wayfair, Acer, Gucci, Lorna Jane, GoPro, and many more.

We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose Riskified every day. 

About the Role

As a Data Engineer, you will be responsible to build data products to enable data-driven decision making across the organization and promote strategic planning. You will also deliver an improved understanding of the company’s various metrics to allow for better short and long term forecasting and planning. You will develop close working relationships with various teams including Product, Analytics & Research, Finance, Sales, Marketing, and more.

What You'll Be Doing

  • Design and Model DWH, pipelines and data products
  • Create new ETL processes and optimize existing ones, ensuring quality data deliverables
  • Work with various teams to define key metrics (KPIs) and provide the methodologies to accurately measure Riskified’s performance
  • Create smart, innovative and effective visualization methods, and promote engagement and implementation of them
  • Be the main point of contact for technical support related to data activities for various teams within Riskified

Qualifications

  • Minimum 2 years experience in a Data Engineering or BI position - must 
  • Knowledge in data modeling and DWH design - must
  • Experience in developing ETL processes - must
  • Experience with BI tools such as Tableau, Looker or similar - must
  • Experience with scripting languages - an advantage
  • Bachelor’s Degree in Science/Data Systems Management/Industrial Engineering and Management
  • Good comprehension of data, and how to tell the story behind it

Life at Riskified

We are a fast-growing and dynamic tech company with 750+ team members globally. We value collaboration and innovative thinking. We’re looking for bright, driven, and passionate people to grow with us.

Our Tel-Aviv team is currently working in a hybrid of remote and in-office work. We have recently moved to our new space in Tel Aviv - check it out here

Some of our Tel Aviv Benefits & Perks:

  • Equity for all employees, Keren Hishtalmut, pension
  • Private medical insurance, extra time off for parents and caregivers
  • Commuter and parking benefits
  • Team events, fully-stocked kitchen,lunch stipend, happy hours, yoga, pilates, functional training, basketball, soccer
  • Wide-ranging opportunities to volunteer and make an impact
  • Commitment to your professional development with global onboarding, skills-based courses, full access to Udemy, lunch & learns
  • Awesome Riskified gifts and swag! 

In the News

Geektime: Riskified Goes Public

Walla!: Happy Hour at the Riskified Offices

Geektime Insider: A look at Riskified Tel Aviv

Globes: Riskified to contribute the highest amount up to date to Tmura

Globes: Riskified is among Israel’s fastest growing companies 

TechCrunch: Riskified Prevents Fraud on Your Favorite E-commerce Site

Riskified is deeply committed to the principle of equal opportunity for all individuals. We do not discriminate based on race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, or any other status protected by law.

Riskified
Riskified
E-Commerce Fraud Detection Machine Learning Risk Management

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