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.
Payments 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 payments, learn quickly, and make significant impacts, then the Ecosystem and Operational Risk team at VISA is the ideal place for you!
The Ecosystem and Operational Risk team, part of the Value Added Services (VAS) organization, is seeking curious, creative, and skilled technologists to join us. This position is for a Senior Consultant Data Engineer with solid development experience, who will focus on discovering new ways to work with data. As a candidate, you should be a passionate and talented developer capable of working in a dynamic environment. Your strong technical skills, leadership, problem-solving abilities, and proficiency in coding, testing, and debugging are just the beginning. You should be willing to step out of your comfort zone, challenge yourself, and be prepared to take on a variety of tasks.
You will play an integral role in the development team, frequently exploring new requirements, designing, debating, refactoring, implementing, and continuously documenting in an ongoing effort to provide superior solutions to our clients. You should be a self-organized individual, flexible, and willing to switch tasks based on business needs.
If this opportunity excites you, we would love to talk further and share more about our work culture and environment.
Essential Functions
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:
• 13+ years of relevant work experience with a Bachelor’s degree or with an Advanced Degree.
Preferred Qualifications:
• 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) like MySQL or Oracle DB a plus.
• 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.
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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