What are the responsibilities and job description for the Sr. Data Engineer position at Visa?
Job Description
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. 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, Ecosystem & Operational Risk technology which is part of Visa’s Value-Added Services business unit is an ideal place for you!
In Ecosystem & Operational Risk group, the Payment Fraud Disruption team is responsible for building critical risk and fraud detection and prevention applications and services at Visa. This includes idea generation, 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 ideal for an experienced data engineer who is passionate about collaborating with business and technology partners in solving challenging fraud prevention problems. You will be a key driver in the effort to define the shared strategic vision for the Ecosystem & Operational Risk platform and defining tools and services that safeguard Visa’s payment systems.
The candidate for this role need to have strong data engineering background, with demonstrated experience in building, training, implementing scalable batch and real time data processing systems for payments, risk or fraud prevention products that created business value and delivered impact within the payments or payments risk domain or have experience building similar solutions for similar industries.
This candidate needs to have a strong academic track record and demonstrate excellent data engineering skills. The candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and excellent collaboration skills.
The ideal candidate will bring the excitement and passion to leverage Generative AI to advance existing fraud detection mechanisms and to innovate and 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 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.
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. 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, Ecosystem & Operational Risk technology which is part of Visa’s Value-Added Services business unit is an ideal place for you!
In Ecosystem & Operational Risk group, the Payment Fraud Disruption team is responsible for building critical risk and fraud detection and prevention applications and services at Visa. This includes idea generation, 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 ideal for an experienced data engineer who is passionate about collaborating with business and technology partners in solving challenging fraud prevention problems. You will be a key driver in the effort to define the shared strategic vision for the Ecosystem & Operational Risk platform and defining tools and services that safeguard Visa’s payment systems.
The candidate for this role need to have strong data engineering background, with demonstrated experience in building, training, implementing scalable batch and real time data processing systems for payments, risk or fraud prevention products that created business value and delivered impact within the payments or payments risk domain or have experience building similar solutions for similar industries.
This candidate needs to have a strong academic track record and demonstrate excellent data engineering skills. The candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and excellent collaboration skills.
The ideal candidate will bring the excitement and passion to leverage Generative AI to advance existing fraud detection mechanisms and to innovate and 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 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.
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