Staff Software Engineer-Big Data- Data Product Development

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

Company Description

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: Our VisaNet network processes over 13,000 transactions 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.

Job Description

Position Summary

We are developing and executing a shared strategic vision for Loyalty platforms and products that enable Visa to be the world-leading data-driven payments company. As a Staff Software Engineer, you will be part of
a world-class team of Engineers to define, drive and execute on this vision. We are looking for a self-motivated individual with software engineering skills and expertise with Big Data systems integration and
technologies. The candidate will be extensively involved in hands-on activities including POCs, design, development, testing, and documentation. Candidate must be flexible and willing to switch tasks based on team's needs.

Primary responsibilities will include:

  • 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 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
  • Identify opportunities for further enhancements and refinements to standards and processes
  • Mentor junior team members, develop departmental procedures and best practices standards
  • 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

Qualifications

  • Bachelor degree in a technical field such as computer science, computer engineering or related field required. Advanced degree preferred
  • Minimum of 7 years of software development experience (with a concentration in data centric initiatives), with demonstrated expertise in leveraging standard development best practice methodologies
  • Minimum of 3 to 4 years of experience in building large-scale applications using open source technologies. Design and coding skills with Big Data technologies like Hadoop, Spark, Hive, and Map Reduce
  • Minimum of 4 years of hands-on expertise with Java or Scala
  • Experience with highly distributed, scalable, concurrent and low latency systems working with one or more of the following database technologies: DB2, MySQL and NoSQL data warehouses such as HBase
  • Deep knowledge of Unix/Linux
  • Deep knowledge of all DW-related components (Sourcing, ETL, Data Modeling, Infrastructure, BI, Reporting, Data Visualization, Predictive Analytics) and multiple tools to support those components
  • Strong foundation in computer science, with strong competencies in data structures, algorithms and software design optimized for building highly distributed and parallelized systems
  • Experience with Agile & DevOps methodologies
  • Excellent analytical and problem solving skills with a strong automation mindset
  • Ability to handle multiple competing priorities in a fast-paced environment
  • Good written and verbal communication skills. Ability to effectively communicate the logic and implementation plan to team members & managers
  • Quick learner; self-starter, detailed and thorough
  • Payment processing background is a big plus

Additional Information

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

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