Lead Software Engineer - Big Data SA/PA

  • Full-time
  • Job Family Group: Technology and Operations

Company Description

About Visa:

Common Purpose, Uncommon Opportunity. Everyone at Visa works with one goal in mind – making sure that Visa is the best way to pay and be paid, for everyone everywhere. This is our global vision and the common purpose that unites the entire Visa team. As a global payments technology company, tech is at the heart of what we do. CyberSource, a Visa company, has been and continues to be a pioneer within the e-Commerce Payment Management world. Our VisaNet network is capable of handling over 65,000 transaction messages per second for people and businesses around the world, enabling them to use digital currency instead of cash and checks.

We are also global advocates for financial inclusion, working with partners around the world to help those who lack access to financial services join the global economy. Visa’s sponsorships, including the Olympics and FIFA™ World Cup, celebrate teamwork, diversity, and excellence throughout the world. If you have a passion to make a difference in the lives of people around the world, Visa offers an uncommon opportunity to build a strong, thriving career. Visa is fueled by our team of talented employees who continuously raise the bar on delivering the convenience and security of digital currency to people all over the world. Join our team and find out how Visa is everywhere you want to be.

“Visa will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of Article 49 of the San Francisco Police Code.”

Job Description

DaaS development is building the Next Generation Data
processing platform with cost-effective and distributed applications on
commodity hardware using best-in-class technology components. Building next
generation DaaS applications require collaboration with exceptional group of
software engineers, Data architects, DevOps engineers, payment experts and
infrastructure architects.

We are looking for an experienced technical expert in Big
Data technologies to help us build our team in Palo Alto. As a Lead Software
Engineer, you will work independently and with other software engineers as well
as program/product managers to create distributed services and front-end APIs
for developers to consume. You will help shape the overall structure of the
DaaS(Data as a Service) offerings.

Responsibilities:

Analyze and develop new applications.

Design, develop, document and implement new programs and
subprograms, as well as enhancements, modifications, and corrections to
existing software.

Responsible for the over-all systems architecture,
scalability, reliability, and performance.

Build and maintain relationships with global and virtual
teams and third parties on software development or support issues.

Collaborating with and/or lead cross-functional teams, build
and launch applications and data platforms at scale, either for revenue
generating or operational purposes

Developing and delivering quality services on time and on
budget. Solutions developed by the team use Java, Hbase, Hive, Hadoop, Pig and
other ETL technologies.

Maintaining current technical knowledge to support rapidly
changing technology, always on a look out for new technologies and work with
management and development team in bringing new technologies.

Candidate must be able to work independently with minimal
supervision and supplemental engineering support, while responding efficiently
to multiple program priorities.

Become a subject-matter-expert (SME) for various program
domains in support of building test capabilities.

Ensure quality of services are near 100% defect free and
services work in production to support uptime SLA of each program

Qualifications

Master’s degree in computer science or equivalent

10+ year track record of relevant work experience and a
Computer Science or related technical discipline is required

Strong knowledge of data structures, algorithms, enterprise
systems, and asynchronous architectures.

Experience in Hadoop using Jave, HBase, Spark, Kafka, Hive,
Pig, Splunk technologies.

Experience with large distributed services is a plus as is
building/operating highly available systems.

Agile & waterfall development experience.

Experience using version control and bug tracking tools.

Ability to generate creative and innovative solutions for QA
challenges and constraints.

Ability to work well in a team environment and be able to
effectively drive cross-team solutions that have complex dependencies and
requirements.

Strong technical vision, presentation and technology
leadership skills.

Expert level SQL skills for data manipulation (DML) and
validation (SQL Server, DB2, Oracle).

Ability to handle multiple competing priorities in a fast-paced
environment.

Experience on Cloudera distribution preferred.

Additional Information

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