Roles & Responsibilities
About the Role
As a Data Integration Engineer at Riskified, you will be using technical skills, analytical insights, and business perspective to ensure we have the most accurate and complete data from each client to feed our data science models. You will be responsible for helping new and existing customers ensure they are receiving the best performance possible and leading the charge on processing the data of the largest eCommerce merchants in the world.
Riskified’s clients come in many different sizes and industries, use different technical platforms, and each one has their own unique data concerns and order flows that have to be uniquely assessed. Our team helps scope, implement, validate and monitor these data integrations from both a technical and business perspective.
What You'll Be Doing
In your first 60 days, you will be expected to complete a global and team-specific onboarding program to ground yourself in the knowledge, tools, processes, and people necessary to succeed on the job.
After Onboarding, You Will Be Expected To Begin Supporting Data Flows For Merchant Integrations And Pilots. Typically, This Includes, But Is Not Limited To
Perform due diligence on merchant websites, business models and data flows
Generate tailored data templates (JSON, CSV) to help guide merchant developers / data teams in building high-quality online (API) and offline (file transfer) integrations
Write queries and scripts (R, Python, SQL, Spark, Databricks) to:
Test, validate, and detect data issues in API calls in sandbox and production environments
Test, validate, transform, and upload large historical data files to Riskified APIs
Maintain / manage merchant data configuration layer of Riskified’s platform (automated data tagging, transformation, filtering, etc)
Combine technical, business and analytical objectives to come up with tailored solutions for onboarding merchants
Ad hoc data wrangling and sanitization
Monitor automated data alerts - prioritize, track, and communicate merchant data issues / irregularities with internal and external stakeholders
Work closely with analysts, research and data science teams to accommodate changes in industry data
Identify, research, and offer system-wide solutions for common data issues
Work closely with client-facing teams to engage customers regarding their data integrations
Support R&D, Product Management, Data Science, Integrations Engineering, Account Management, and Sales as a subject matter expert of Riskified’s product, technology and merchants
Contribute to advancing the team’s tooling, processes, and documentation
Qualifications
5+ years of experience in a data-centric industry role (Analytics, Data Engineering, ETL, DBA, Consulting, etc.)
3+ years with SQL or NoSQL databases
3+ years experience with data wrangling (R, Python for data processing)
3+ years optimizing technical processes
Strong analytical skills and attention to detail
Strong verbal and written communication skills
Experience
Skills
- Primary Skill: Data Engineering
- Sub Skill(s): Data Engineering
- Additional Skill(s): Python, ETL, SQL, Azure Data Factory
About The Company
Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP).
Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.