Senior Data Engineer-2

Company Description

Visa is a global leader in digital payments, facilitating more than 215 billion payment transactions between consumers, merchants, financial institutions and government entities across over 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payment network, enabling individuals, businesses, and economies to grow and succeed.

When you join Visa, you join a culture of purpose and inclusion – where your growth is prioritized, your identity is celebrated, and the work you do matters. We believe that inclusive economies benefit everyone, everywhere. Your work will have a direct impact on billions of people worldwide – helping to unlock financial access and enable the future of money movement.

Join Visa: A Network Working for Everyone.

Job Description

The field of payments is very exciting and rapidly evolving, with a multitude of new and innovative ideas coming to market. With strong demand for new solutions in this space, it promises to be an exciting area of innovation. VISA is a dominant player in the payment industry and is quickly transitioning into a technology company with significant investments in this area.

If you want to be part of the exciting payment sector, learn quickly and make a significant impact, the Ecosystem & Operation Risk technology, which is part of Visa’s Value-Added Services business unit, is an ideal place for you!

In the Ecosystem & Operation Risk group, the Payment Fraud Disruption team is tasked with building critical risk and fraud detection and prevention applications and services at Visa. This includes the generation of ideas, architecture, design, development, and testing of products, applications, and services that provide Visa clients with solutions to detect, prevent, and mitigate fraud for Visa and Visa client payment systems.

This position is perfect for an experienced data engineer who is passionate about collaborating with business and technology partners to address complex fraud prevention problems. You will play a key role in devising the shared strategic vision for the Payment Fraud Disruption platform and outlining tools and services that safeguard Visa’s payment systems.

The ideal candidate will have a strong Machine Learning and Data Science background, with proven experience in creating, training, implementing, and optimizing advanced AI models for payments, risk, or fraud prevention products that have generated business value and produced meaningful impact within the payments or payments risk domain or in building AI/ML solutions for similar industries.

As a Data Engineer, you will be responsible for establishing processes, automation, structures, and big data systems based on business and technical requirements to funnel multiple requirements, route properly, and plan appropriate big data technology using a combination of open source and vendor-supported big data technologies, databases, and other relevant big data technologies as needed.

A successful candidate should be capable of engaging in high-level conversations with business and technology partners, think broadly about Visa’s business, and drive solutions that enhance the safety and integrity of Visa’s payment ecosystem. The candidate will help deliver innovative insights to Visa's strategic products and business. This role offers the exciting opportunity to make key contributions to Visa's strategic offerings. The candidate needs to have strong academic track records and demonstrate excellent software engineering skills. They should be a self-starter who is comfortable with ambiguity, has a keen eye for details, and excellent collaboration skills.

The ideal candidate will bring enthusiasm and passion for leveraging Generative AI to enhance existing fraud detection mechanisms and innovate to solve new fraud use cases. This engineer will use code generation capabilities like GitHub copilot to drive efficiencies in software development.

Essential Functions:

• As a Data Engineer, you will help design, improve, and build next generation fraud detection solutions in an agile development environment.

• Translate business problems into technical data problems while ensuring key business drivers are taken into consideration in collaboration with product stakeholders.

• Participate in end-to-end development effort for the timely delivery of high-quality solutions that meet requirements, conform to the architectural vision, and comply with all applicable standards. Responsibilities span all phases of solution development.

• Collaborate with project team members (Product Managers, Architects, Analysts, Developers, Project Managers, etc.) to ensure development and implementation of new data-driven business solutions.

• Work with architects where applicable or collaborate with senior technologists to develop architecture and design.

• Fulfil all code commitments and ensure a complete end-to-end solution that meets and exceeds business expectations.

• Identify proper service metrics and measurements for ensuring performance against Service Level Agreement.

• Assist in the scoping and designing of analytic data assets, implementing modelled attributes, and contributing to brainstorming sessions.

• Build and maintain a robust data engineering process to develop and implement self-service 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, as needed.

• Identify opportunities to create, automate, and scale repeatable analyses or build self-service tools for business users.

• Carry out data engineering projects ranging from small to large either individually or as part of a project team.

• Ensure project delivery within timeline and budget requirements.

• Mentor and train other juniors on the team on key solutions.

• Able to work on multiple projects and initiatives with different/competing timelines and demands.

• 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 workers can divide their time between remote and office work. Workers in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guide of being in the office 50% or more of the time depending on business needs.

Qualifications

Basic Qualifications:

• 2+ years of relevant work experience with a Bachelor’s degree, or 5+ years of relevant work experience.

• Experience in creating data-driven business solutions and solving data problems using a wide variety of technologies like Hadoop, MapReduce, Hive, Spark, Scala, MongoDB, NoSQL, as well as traditional data technologies like MySQL, RDBMS.

• Experience in building ETL/ELT data pipelines, data quality checks, and data anomaly detection and notification systems.

• Experience with successful design, architecture, and development using Hadoop, Spark and Scala for large data processing and transaction systems.

• Experience in applications and services development using Java.

• Experience in developing and architecting large scale, enterprise class distributed systems of high availability, low latency, & strong data consistency.

• Experience with agile development incorporating Continuous Integration and Continuous Delivery, utilizing technologies such as GIT/Stash, Maven, Jenkins, Selenium, and Chef.

• Strong facilitation and analytical skills with exceptional problem-solving ability.

• Strong interpersonal and leadership skills.

• Ability to present complex ideas in a clear, concise manner.

• Passionate about delivering zero defect code that meets or exceeds the proposed defect SLA and have a high sense of accountability for the quality and timeliness of one’s own deliverables and team deliverables.

• Be systematic and able to conduct deep research to uncover the details.

• Have good work ethics, and be a team player to achieve the best results as a team.

• You have a passion for understanding people and constantly strive to improve our products.

• Highly driven, resourceful, and result-oriented.

• Demonstrated ability to lead and navigate through uncertainty.

• Skills to see and understand the big picture, while being able to stay focused on the task at hand to achieve immediate goals.

Preferred Qualifications:

• 3 or more years of work experience with a Bachelor’s Degree or 2 or more years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD).

• Experience in full stack technology, in one or more of the following technologies- Java, Spring MVC, Spring Boot, Angular, JavaScript, MySQL, Maven, Design Patterns, Test Automation framework.

• Expertise in web applications and web services, technology standards, and frameworks.

• Experience in test-driven development and test automation.

• Experience in the card industry or fintech delivering solutions in fraud, risk, or payment space.

Additional Information

Visa is an equal opportunity employer. All 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.