The Payment Systems Risk team is responsible for building critical risk and fraud prevention applications and services at VISA. This includes idea generation, architecture, design, development, and testing of products, applications, and services that provide Visa clients with solutions to detect, prevent, and mitigate risk for Visa and Visa client payment systems.
Are you skilled at turning hard numbers into compelling stories and useful strategic insights? Do you solve complex data challenges with creative flair? Put those skills to work answering strategic questions for one of the world’s most respected and innovative payments companies.
As a Staff Data Engineer, you will be responsible to establish processes, automations, structures and big data systems based on business and technical requirements to channel multiple requirements, route appropriately and plan proper big data technology using combination of open source and vendor supported big data technologies, databases, and other app
The Payment Systems Risk team is responsible for building critical risk and fraud prevention applications and services at VISA. This includes idea generation, architecture, design, development, and testing of products, applications, and services that provide Visa clients with solutions to detect, prevent, and mitigate risk for Visa and Visa client payment systems.
Are you skilled at turning hard numbers into compelling stories and useful strategic insights? Do you solve complex data challenges with creative flair? Put those skills to work answering strategic questions for one of the world’s most respected and innovative payments companies.
As a Staff Data Engineer, you will be responsible to establish processes, automations, structures and big data systems based on business and technical requirements to channel multiple requirements, route appropriately and plan proper big data technology using combination of open source and vendor supported big data technologies, databases, and other applicable big data technologies as required.
Essential Functions
Qualifications
• Bachelor degree in a technical field such as computer science, computer engineering or related field required. Advanced degree preferred
• Minimum of 8 years of software development experience (with a concentration in data centric initiatives), with demonstrated expertise in leveraging standard development best practice methodologies
• Minimum of 3 to 4 years of experience in building large-scale applications using open source technologies. Design and coding skills with Big Data technologies like Hadoop, Spark, Hive, and Map Reduce
• Minimum of 4 years of hands-on expertise with Java or Scala
• Experience with highly distributed, scalable, concurrent and low latency systems working with one or more of the following database technologies: DB2, MySQL and NoSQL data warehouses such as HBase
• Experience working in an Agile and Test Driven Development environment.
• Experience with Continuous Integration and Automated Test tools such as Jenkins, Artifactory, Git, Selenium, Chef desirable
• Experience with SAS as a statistical package is preferred
• Familiarity or experience with data mining and statistical modeling (e.g., regression modeling, clustering techniques, decision trees, etc.) is preferred
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