Responsibilities
The Data and Artificial Intelligence Platform (DAP) group is a key component of Visa's Technology organization that provides the enabling technology and processes to handle Visa's data assets and deliver valuable information, products, and services to customers. DAP delivers secure, high-quality and easy-to-use Visa core data assets as a service, together with reliable and scalable data platform as a service, to enable Visa and our partners to rapidly and efficiently innovate data-driven business products and services to lead the digital payment industry. Areas of focus include Business Intelligence and Analytics, Artificial Intelligence, Machine Learning, Data as a Service, and Platform as a Service etc. The portfolio comprises of over 60 data products & platforms for various external clients and internal lines of business. We provide services on behalf of traditional bank customers to millions of cardholders and merchants globally. Our application development is on the cutting edge of technology, and we are viewed as innovative leaders within our industry.
The Platform operationalizes the delivery of AI and decision intelligence to ensure ongoing business values. Built with composable AI capabilities, privacy-enhancing computation, and cloud native platforms, platform automates the updates to data, models, and applications. If you want to be in the exciting payment and AI space, learn fast, and make big impacts, this is an ideal place for you!
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
Qualifications
Basic Qualifications
-Bachelor degree in a technical field such as computer science, computer
engineering or related field required. Advanced degree preferred
Preferred Qualifications
-5+ years of software development experience (with a concentration in data
centric initiatives), with demonstrated expertise in leveraging standard
development best practice methodologies
-Solid hands-on experience with Data technologies like Hadoop, Spark, Hive, and
Map Reduce
-Minimum of 3 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
-Familiarity or experience with data mining and statistical modeling (e.g.,
regression modeling, clustering techniques, decision trees, etc.) is good to
have.
-Experience in using Gen AI tools.
-Strategic thinker and good business acumen to orient data engineering to the
business needs of internal clients
-Demonstrated intellectual and analytical rigor, strong attention to detail, team
oriented, energetic, collaborative, diplomatic, and flexible style