Commercial Money Movement Solution(CMS) division’s charter is to capture new sources of money movement through card and non-card flows, including Visa Business Solutions, Government Solutions and Visa Direct which presents an enormous growth opportunity. Our team brings payment solutions and associated services to clients around the globe. Our global clients and partners deploy our solutions to serve the needs of Small Businesses, Middle Market Clients, Large Corporate Clients, Multi Nationals and Governments.

The Visa Business Solutions (VBS) and Visa Government Solutions (VGS) team is a world-class technology organization experiencing tremendous, double-digit growth as we expand products into new payment flows and continue to grow our core card solutions. This is an incredibly exciting team to join as we expand globally.

Essential Functions:

• Work with manager and clients to fully understand business requirements and desired business outcomes
• Should be good in analyzing and debugging production issues and work with stakeholders to resolve them
• Should be able to contribute in BAU track
• Assist in scoping and designing analytic data assets, implementing modelled attributes and contributing to brainstorming sessions
• Build and maintain a robust data engineering process to develop and implement self-serve data and tools for Visa’s data scientists
• Perform other tasks on R&D, data governance, system infrastructure, analytics tool evaluation, and other cross team functions, on an as-needed basis
• Find opportunities to create, automate and scale repeatable analyses or build self-service tools for business users
• Execute data engineering projects ranging from small to large either individually or as part of a project team
• Ensure project delivery within timelines and budget requirements
• Provide coaching and mentoring to junior team members

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

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 4 years of experience in building large-scale applications using open source technologies. Design and coding skills with Big Data technologies like Hadoop, Spark, Streaming, Kafka, Hive, and Hbase
Minimum of 4+ years of hands-on expertise with 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
Candidates with demonstrated use of generative AI coding tools will be preferred
Experience in building monitoring and alerting (Prometheus/Grafana/Datadog/CloudWatch) for broker health, consumer lag, job failures, and pipeline SLAs.
Lead incident response, root-cause analysis, and post-mortems, drive preventative improvements
Experience in Kafka streaming implementation for Spark based applications
Perform rapid root-cause analysis (RCA) using logs, metrics, traces, and lineage, drive permanent fixes and post-mortems with clear action items
Mentor engineers, set best practices, code reviews, and technical standards
Experience with Java would be added advantage

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.