10000 Big data Jobs

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 & Operation Risk technology which is part of Visa’s Value-Added Services business unit is an ideal place for you! 

In Ecosystem & Operation Risk group, 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 Payment Fraud Disruption platform and defining tools and services that safeguard Visa’s payment systems.  

The right candidate will possess strong ML and Data Science background, with demonstrated experience in building, training, implementing and optimized advanced AI models 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 AI/ML solutions for similar industries.   

As a Data Engineer, you will be responsible to establish processes, automations, structures and big data systems based on business and technical requirements to channel multiple requirements, route appropriately and plan proper big data technology using combination of open source and vendor supported big data technologies, databases, and other applicable big data technologies as required. 

A successful candidate should have the ability to engage in high bandwidth conversations with business and technology partners and be able to think broadly about Visa’s business and drive solutions that will 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 represents an exciting opportunity to make key contributions to strategic offering for Visa. This candidate needs to have strong academic track record and be able to demonstrate excellent software 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 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.  

• Participate 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. 

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

• Deliver on 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 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 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  

• 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 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:
• 2+ 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)
• Experience with creating data driven business solutions and solving data
problems using a wide variety of technologies such as Hadoop, MapReduce,
Hive, Spark, Scala, MongoDB, NoSQL, as well as traditional data technologies
like MySQL, RDBMS
• Experience 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 excellent problem-solving ability
• Strong interpersonal and leadership skills
• Ability to present complex ideas in a clear, concise way
• Passionate about delivering zero defect code that meet or exceed the
proposed defect SLA and have high sense of accountability for quality and
timeliness of one’s own deliverables and team deliverables
• Be systematic and be able to do deep research wanting to uncover the details
• Have good work ethics, and be a team player to bring the best results as a
team
• You have the passion to understand people and always strive to improve our
products
• Highly driven, resourceful and results oriented
• Demonstrated ability to lead and navigate through ambiguity
• While you'll have the skill to see and understand the big picture, you're able to
stay focused on the task at hand to achieve immediate goals

Additional Information

Visa is an EEO Employer. 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.