Sr. 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

Join Visa's Ecosystem & Operational Risk technology team, specifically the Payment Fraud Disruption team, at the forefront of innovation in the dynamic payment space. As a data engineer, you'll play a pivotal role in designing, developing, and testing fraud prevention solutions for Visa and its clients. Ideal for someone with a strong data engineering background, proven experience in building scalable batch and real-time processing systems, and a track record in payments, risk, or fraud prevention. Key responsibilities include shaping the strategic vision of the Ecosystem & Operational Risk platform, creating tools, and services to secure Visa's payment systems. The role requires a self-starter with strong attention to detail, excellent collaboration skills, and a passion for leveraging Generative AI like GitHub copilot for efficient software development. Exciting opportunity to contribute to cutting-edge fraud detection mechanisms and address new fraud use cases.

Essential Functions

• As a Senior Data Engineer, you will help design, enhance, and build next generation fraud detection solutions in an agile development environment.
• Formulate business problems as technical data problems while ensuring key business drivers are captured in collaboration with product stakeholders.
• Drive development effort end-to-end for on-time delivery of high-quality solutions that conform to 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.
• Deliver all code commitments and ensure a complete end-to-end solution that meets and exceeds business expectations.
• Assist in scoping and designing analytic data assets, implementing modelled attributes, and contributing to brainstorming sessions.
• 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 data governance, system infrastructure, analytics tool evaluation, and other cross-team functions, as needed.
• 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.
• Effectively communicate status, issues, and risks in a precise and timely manner.

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.

Visa is not offering relocation assistance for this role.

Qualifications

Basic Qualifications:

• ·2 or more years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience

Preferred Qualifications:

• 3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
• Proficient in creating data-driven solutions using technologies like Hadoop, MapReduce, Hive, Spark, NoSQL, and traditional databases (e.g., MySQL).
• Skilled in developing real-time streaming data pipelines with Kafka, Spark Streaming, ELK, etc.
• Expertise in constructing ETL/ELT pipelines, implementing data quality checks, and building anomaly detection/notification systems.
• Solid experience in building large-scale distributed data processing systems with high availability, low latency, and strong data consistency.
• Familiarity with programming languages such as Java or Python.
• Hands-on exp