Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable and secure payments network, enabling individuals, businesses and economies to thrive.
When you join Visa, you join a culture of purpose and belonging – where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world – helping unlock financial access to enable the future of money movement.
Join Visa: A Network Working for Everyone.
Visa Consulting and Analytics (VCA), the consulting arm of Visa, is a global team of industry experts in strategy, marketing, operations, risk and economics consulting, with decades of experience in the payments industry.
Our VCA teams offers:
Consulting services customized to the needs of Visa client’s business objectives and strategy
Business and economic insights and perspectives that impact business and investment decisions
Self-service digital solutions Visa clients can leverage to improve performance in product, marketing and operations
Proven data-driven marketing strategies to increase clients’ ROI
VCA team is looking for a passionate individual to join our consulting practice and play a role in the data engineering team. The ideal candidate is adept at using big data sets to understand our client’s challenges and deploy targeted solutions to drive meaningful benefits, leveraging our world-class payment knowledge, in combination with our diverse service offerings to address key strategic needs for Visa’s clients including issuers, acquirers and merchants.
He/She must have experience using a variety of data mining/data analysis methods, using a variety of distributed data platforms, and leveraging the latest open-source technologies. He/She must have a proven ability to drive business results with their data-based insights. Adept at creative and critical thinking, be able to deconstruct problems and transform insights into large scale, state-of-the-art solutions.
Automate and standardize data processes developed by team members.
Leverage DevOps to create end-to-end streamline CI/CD data and ML pipelines.
Review and manage data pipelines, branching, and deployment process.
Work with partners on requirements and implementation designs of data solutions.
Implement data quality framework at scale using open-source technologies.
Create data monitoring dashboards with real-time notifications.
Understand VisaNet data and platform ecosystem to deploy fully automatic data applications for internal and external clients.
Unify data engineering and machine learning engineering pipelines.
Apply spark optimization techniques to production jobs to accelerate data prep.
Document process, designs, test results, and analysis.
Ability to articulate complex architectures to non-technical audiences, management, and leadership.
Continuously research industry best practices and technologies.
Evangelize end to end automation and standardization across the organization.
Partner with functional areas, and regional and global teams to leverage the breadth and depth of Visa’s resources.
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.
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.