About the position
Visa’s Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world’s most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you’ll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. Payments are a very exciting and fast-developing area with a lot 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 for the next 5 to 10 years. VISA is a strong leader in the payment industry, and is rapidly transitioning into a technology company with significant investments in this area. If you want to be in the exciting payment space, learn fast and make big impacts, VISA Risk and Identity Solutions team (RaIS) is an ideal place for you! RaIS team within VAS (Value added Services) organization is looking for curious, creative, and talented technologists to join our team.
Responsibilities
- Design code and systems that touch 40% of the world population while influencing Visa’s internal standards for scalability, security, and reusability.
- Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for multiple Visa technical offerings.
- Actively contribute to product quality improvements, valuable service technology, and new business flows in diverse agile squads.
- Develop robust and scalable products intended for a myriad of customers including end-user merchants, b2b, and business to government solutions.
- Leverage innovative technologies to build the next generation of Payment Services, Transaction Platforms, Real-Time Payments, and Buy Now Pay Later Technology.
- Design and Develop Data Pipelines: Create and maintain scalable data pipelines to support data integration, transformation, and loading processes.
- Data Warehousing: Design, implement, and manage data warehousing solutions to ensure efficient data storage and retrieval.
- Data Quality and Governance: Ensure data quality, integrity, and governance by implementing best practices and data validation techniques.
- ETL Processes: Develop and manage ETL (Extract, Transform, Load) processes to move data from various sources into data warehouses or other storage solutions.
- Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet their needs.
- 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.
- Performance Optimization: Optimize data processing and storage solutions for performance, scalability, and cost-efficiency.
- Data Security: Implement and maintain data security measures to protect sensitive information and ensure compliance with relevant regulations.
- Documentation and Presentation: Create and maintain comprehensive documentation for data engineering processes, systems, and workflows.
- Ownership: Drive release planning exercise, track development and testing to timely releases.
- Innovation: Work on emerging technologies, building distributed applications.
- Mentorship: Guide and unblock other team members on day-to-day engineering tasks.
Requirements
- 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.
- Proficiency in Java Spring boot and API security.
- Proficiency in implementing design patterns and hands on knowledge of Spring, hibernate and RDBMS technologies like SQL Server, Oracle or similar and No SQL technology like MongoDB is preferred.
- Proven skills in technologies like Redis Cache, Tomcat, jQuery + kendo, NodeJS is preferred.
- Experience with web service standards and related patterns (REST, JSON).
- Experience with Agile development incorporating TDD, Continuous Integration and Continuous Delivery, utilizing technologies such as GIT, Maven, Jenkins, Chef, Sonar, JUnit, Mock frameworks.
- Experience developing large scale, enterprise class distributed system or subsystems that require high availability, low-latency, & strong data consistency computing.
- Hands-on experience in designing and developing data pipelines, data warehousing solutions, and ETL processes.
- Proficiency in data quality, integrity, and governance practices and strong knowledge of performance optimization for data processing and storage solutions.
- Experience in implementing and maintaining data security measures.
- Strong interpersonal, facilitation, and effective communication skills to present complex ideas clearly and concisely to different stakeholders.
- Proven ability to drive development efforts end-to-end for on-time delivery of high-quality solutions.
Nice-to-haves
- 6 or more years of work experience with a Bachelor’s Degree or at least 4 years of work experience with an Advanced Degree (e.g. Masters/ MBA/JD/MD) or 3 years of work experience with a PhD in Computer Science or related discipline or 8+ years of relevant work experience.
- Experience in Payments platforms is preferred.
- Willingness to work on emerging technologies and build distributed applications and flexibility to adapt to changing directions and priorities.
- Experience in designing, developing, and deploying Generative AI (GenAI) applications.
- Familiarity with cloud-based AI services and platforms (e.g., Azure AI, AWS AI, Google Cloud AI).
Benefits
- Medical
- Dental
- Vision
- 401 (k)
- FSA/HSA
- Life Insurance
- Paid Time Off
- Wellness Program
