Staff Data Engineer - Payment Systems Risk
Foster City, CA, United States
Visa
Das digitale und mobile Zahlungsnetzwerk von Visa steht an der Spitze der neuen Zahlungstechnologien für die neue Zahlung, elektronische und kontaktlose Zahlung, die die Welt des Geldes bildenCompany Description
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.
Job Description
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.
Responsibilities
- Design and develop mission-critical systems, delivering high-availability and performance.
- Work on development of new products and enhancements to existing systems iteratively by building quick POCs on cutting edge technologies and converting ideas into real products
- Work closely with architects, business, and technical stakeholders to develop high quality products and services that meet business requirements and expectations while applying the latest available tools and technology
- Instill best practices for software development and deliver high quality work on tight schedules.
- Monitor health of the platforms and Generate Performance Reports and Monitor and provide continuous improvements.
- Identify opportunities for further enhancements and refinements to standards and processes
- Coordinate Continuous Integration activities, testing automation frameworks, and other related items in addition to contributing core product code
- Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner.
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 two days a week, Tuesdays and Wednesdays with a general guidepost of being in the office 50% of the time based on business needs.
Qualifications
Basic Qualifications:
- 5 or more years of relevant work experience with a Bachelor’s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD
Preferred Qualifications:
- 6 or more years of work experience with a Bachelor’s Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD
- Hands on Experience in Hadoop, Hive, Spark, Kafka.
- Minimum 6 years of work experience in maintaining, optimization, issue resolution of Big Data large scale clusters, supporting Business users and Batch process
- Excellent Shell, Python programming skills for automation requirement for repetitive dev-ops tasks
- Strong Debugging skills in Java, Scala and Hive or Spark SQL programming languages
- Advanced experience in Apache Hadoop, Apache Spark, Apache Hive, and Presto
- Deployment experience with Hadoop distributions open source
- Advanced experience with System Administration with Linux (RHEL/CentOS) including Microsoft Active Directory, and LDAP integration
- Experience with troubleshooting -Kerberos Authentication problems
- Experience with Network troubleshooting
- Experience with RDBMS and NoSQL databases like MySQL, HBase is a plus
- Experience in container technology like Kubernetes is a plus
- Experience on Hortonworks distribution or Open Source preferred
- Strong troubleshooting and problem-solving skills
- Excellent interpersonal, verbal, and written communication skills
Additional Information
Visa has adopted a COVID-19 vaccination policy to safeguard the health and well-being of our employees and visitors. As a condition of employment, all employees based in the U.S. are required to be fully vaccinated for COVID-19, unless a reasonable accommodation is approved or as otherwise required by law.Work Hours: Varies upon the needs of the department.
Travel Requirements: This position requires travel 5-10% of the time.
Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.
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.
Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Big Data Hadoop HBase Kafka Kubernetes Linux MySQL NoSQL Open Source PhD Python RDBMS Scala Spark SQL Testing
Perks/benefits: Startup environment Team events
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