Authentication is an exciting and rapidly developing field, teeming with fresh and innovative ideas. With a strong demand for new solutions, this space promises to be a hotbed of innovation for the next 5 to 10 years. If you're eager to immerse yourself in the dynamic world of identity, risk measurement and consumer authentication, learn quickly, and make significant impacts, then the Risk and Identity team at VISA is the ideal place for you!
As a Data Engineer - Senior Consultant, you'd be functioning as a tech lead for a scrum team of 8-10 members. You'd have end-to-end ownership of business initiatives. You'd be reporting to a Director of Authentication.
This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.
Basic Qualifications
• 8+ years of relevant work experience with a Bachelor’s Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience.
Preferred Qualifications
• 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD
• Proven knowledge of successful design, architecture, and development of data pipelines
• Experience in creating data driven business solutions and solving data problems using a wide variety of technologies such as Hadoop, Hive, Spark, MongoDB, NoSQL, as well as traditional data technologies (RDBMS).
• Experience developing large scale, enterprise class distributed system or subsystems that require high availability, low latency & strong data consistency computing.
• Ability to program in one or more scripting languages such as Python and one or more programming languages such as Java or Scala
• Design and development skills with Big Data technologies like Hadoop, Spark, Hive, Presto and Map Reduce
• Experience with Continuous Integration and Automated Test tools such as Jenkins, Artifactory, Git, Selenium, Chef desirable
• Experience in Graph processing technologies and graph databases such as GraphX and Neo4j is a plus.
• Experience in implementing AI and ML methods is preferred, specifically techniques used in identity verification, fraud detection, or risk prediction scenarios such as Identity Graph, Decision Trees, Random Forests, Logistic Regression, Neural Networks, SVM, or Anomaly Detection algorithms.
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
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