Staff 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

VISA is a leader in the payment industry and quickly transitioning into a technology company that is fostering an environment for applying the latest technology to solve exciting problems in this area. For a payment system to work well, the risk techniques, performance, and scalability are critical. These techniques and systems can benefit from big data, data mining, artificial intelligence, machine learning, cloud computing, & many other advance technologies and in VISA, we have all of these

This position is for a Staff Data Engineer with solid development experience who will focus on creating new capabilities for Visa’s Acceptance Platform while maturing our code base and development processes. In this position, you are first a passionate and talented developer that can work in a dynamic environment as a member of Agile Scrum teams. Your strong technical leadership, problem-solving abilities, coding, testing and debugging skills is just a start.

You will be an integral part of the development team, sometimes investigating new requirements and design and at times refactoring existing functionality for performance and maintainability, but always working on ways to make us more efficient and provide better solutions to our end customers. The candidate will perform hands-on activities including design, documentation, development and test of new functionality. Working as a Data Engineer in Visa is a chance to work with big data in a company that prizes security and user privacy above all else, ultimately making it so you can use your abilities to the fullest

Essential Functions

• Work with manager and internal clients to fully understand business requirements and desired business outcomes
• Build and maintain a robust data engineering process to develop and implement self-serve data and tools for Visa’s data scientists
• Perform other tasks on R&D, data governance, system infrastructure, analytics tool evaluation, and other cross team functions, on an as-needed basis
• Find opportunities to create, automate and scale repeatable analyses or build self-service tools for business users
• Execute 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
• Provide coaching and mentoring to junior team members

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

Basic Qualifications

• 5 or more years of relevant work experience with a Bachelors 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 Bachelors 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
• Proven knowledge of successful design, architecture and development using Big Data Hadoop, J2EE and Spark with large data volumes and transaction systems
• Possesses a deep understanding of benefits/drawbacks of different integration patterns
• Continuous delivery and Dev Ops experience – infrastructure automation, monitoring, logging, auditing and security implementation and practices
• Knowledge of NoSQL databases (e.g., HBASE and Cassandra) technologies is a plus
• Experience with GIT/Stash, Maven, and Jenkins
• Experience in Python, Hbase, Kafka is a big plus
• Experience in MySQL, Oracle, or IBM DB2 on AIX, Unix, or Linux platform
• Ability to solve complex software development/design issues
• Ability to write clean, coherent