Visa 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.
As part of Global Initiative team, We are looking for a Data Engineer to build next generation analytics and reporting platform. The successful candidate will be a well-rounded data engineer with a strong expertise and experience in building large scale applications with Big Data technologies like Hadoop, Spark, Hive, Map Reduce etc.
Job Responsibilities:
Work with business partners and team members to fully understand business requirements and desired business outcomes.
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.
Find opportunities to create, automate and scale repeatable analyses or build self-service tools for business users.
Implement 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.
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.
Qualifications:
• Knowledge of successful design, and development of data driven real time and batch systems.
• 3+ years of development experience in one or more the following: Java/Python, Scala/Pyspark.
• 2+ years of relevant experience with any of the cloud technologies AWS, GCP, or Azure, preferably in an AI/ML production environment.
• Hands-on with Kubernetes/EKS is considered a significant advantage.
• Familiarity in building large scale distributed, high performance systems in payments or other domains.
• Well versed with common software development tools, CICD, Agile methodologies and scrum practices.
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.