Senior Data Engineer

Company 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

About Global Commercial Payments Platform – B2B Connect

We are working on multiple technology stacks and want to add a highly motivated Engineer to our Commercial Payments organization in Atlanta, GA. Visa's Commercial Payments organization is responsible for managing Visa's B2B Payment Global adoption on Cross-Border funds movement, innovation agenda and the management of strategic partnerships with critical financial institutions. This group is responsible for defining and building the Non-Card based payment innovation and product for Visa Inc. Globally.

Essential Functions

• Work on emerging technologies, building highly scalable, secure, reliable and fault tolerant distributed systems
• Work on designing, implementing, and maintaining Data pipelines, workflow and state machine management 
• Work with big data, streaming, distributed messaging technologies to meet the functional/non-functional business requirements
• Build and maintain the infrastructure required for optimal extraction, transformation, loading and integration of data from a wide variety of data sources, both internal and external to Visa
• Participate in design and code review sessions as appropriate, to ensure the quality of work delivered by self and teammates are in accordance with development standards
• Analyze input data elements across multiple sources and build data lineage for the Asset Management System
• Building a core framework to manage various Asset category, analyze and select the best possible option for the network based on the market competitiveness
• Continuous improvement of test strategies for quality delivery of solutions through functional and non-functional testing types.

Flex Work Arrangement - Hybrid Position - This is a hybrid position. Hybrid employees can alternate time between both home and office. Employees in hybrid roles are expected to work from the office three days a week, Monday (Sunday in some countries where Sunday is the start of the week) and Wednesdays. Wednesdays are designated as in-office collaboration days. The third day in the office will be decided based on team needs and determined in partnership with senior leadership. 

Qualifications

Basic Qualifications:

• 2 years of work experience with a Bachelor’s Degree or at least 0-2 year of
work experience with an Advanced Degree (e.g. Masters) in Computer
Science, Computer Engineering or related field (e.g. Masters)

Preferred Qualifications:

• 2 or more years of work experience with a Bachelor’s Degree or more than 1
years of work experience with a Masters Degree.
• Must-have - Strong CS fundamentals involving Data Structures, Algorithms,
Object-oriented Programming, Operating Systems, DBMS
• Hands-on experience with Test Driven Development and building automation
tests for complex applications
• Understanding of data integration patterns, frameworks and concepts is a
plus
• Experience using CI/CD tools such as Jenkins, GIT, Octopus Deploy, Artifactory
and Maven
• Knowledge of agile processes involving Scrum teams and usage of process
tools such as JIRA, Confluence and Zephyr a plus
• Expertise in at least two of the following general purpose programming
languages: Java/Go/Scala/Python/JavaScript
• Experience working with multiple database models such as Relational DBMS,
Document, Columnar and Key-Value data stores
• Experience working with Stream processing Systems: Storm, Spark-Streaming,
Kafka Streams etc.
• Experience working with big data and messaging platforms: Kafka, Flink,
Spark, Hadoop, RabbitMQ


U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 103,400 to 131,800 USD, which may include potential sales incentive payments (if applicable).  Salary may vary depending on job-related factors which may include knowledge, skills, experi