Job Description

Company DescriptionVisa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in 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 while driven by a common purpose - to uplift everyone, everywhere by being the best way to pay and be paid.Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.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 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 FunctionsWork with manager and clients to fully understand business requirements and desired business outcomesAssist in scoping and designing analytic data assets, implementing modelled attributes and contributing to brainstorming sessionsBuild and maintain a robust data engineering process to develop and implement self-serve data and tools for Visa\'s data scientistsPerform other tasks on RnD, data governance, system infrastructure, analytics tool evaluation, and other cross team functions, on an as-needed basisFind opportunities to create, automate and scale repeatable analyses or build self-service tools for business usersExecute data engineering projects ranging from small to large either individually or as part of a project teamEnsure project delivery within timelines and budget requirementsThis 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.QualificationsBasic Qualifications

• 2 or more years of work experience with a bachelor\'s degree or an Advanced degree (e.g. Masters, MBA, JD, MD)

Preferred Qualifications

• 3 or more years of work experience with a bachelor\'s degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
• 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 like RDBMS, MySQL a plus
• Ability to program in one or more scripting languages such Python / Shell Scripting and one or more programming languages such as Java or Scala
• Experience with data visualization and business intelligence tools like Tableau is a plus
• Experience with or knowledge of Continuous Integration & Development and automation tools such as Jenkins, Artifactory, Git etc.
• Experience with or knowledge of Agile and Test-Driven Development methodology
• Strong analytical skills with excellent problem-solving ability

Additional InformationVisa 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.

Visa