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.

1. To ensure that Visa’s payment technology is truly available to everyone, everywhere requires the success of our key bank or merchant partners and internal business units. The Global Data Science group supports these partners by using our outstandingly rich data set that spans more than 3 billion cards globally and collects more than 100 billion transactions in a single year. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners. We work in complementary teams comprising members from Data Science and various groups at Visa. To support our rapidly growing group we are hiring Data Engineers, who are equally passionate about the opportunity to use Visa’s rich data to solve meaningful business problems! 

   In this role, you will be part of VCA (Visa Consulting & Analytics) function in building and maintaining global data assets and engineering solutions. We are looking expertise in data warehousing and building large-scale data processing systems by using the latest database technologies. The Data Engineer will take ownership of building and running data pipelines, crafting our local data warehouse and data frameworks, and catering for different data presentation techniques.  

   The position is based at Visa's offices in Foster City, CA or Atlanta, GA. 

   Essential Functions 

2. Exposure working with Global teams & Fortune 500 companies and possess strong experience working directly in client facing roles. 

3. Execute and lead large scale ETL processes to support development and publishing of reports, Datamart’s and predictive models. 

4. Strong Data Analytical and Visualization skills along with experience in self-service reporting tools like Tableau or Power BI with critical metrics and facilitate Visa Consulting engagements including data exchange. 

5. Should have strong problem-solving capabilities and ability to quickly propose feasible solutions and optimally communicate strategy and risk mitigation approaches to leadership. 

6. Build ETL pipelines in Spark, Python, HIVE or SAS that process transaction and account level data and standardize data fields across various data sources 

7. Build and maintain robust ETL processes, including data quality and testing aligned across technology, internal reporting and other functional teams 

8. Build data dictionaries, setup and supervise data validation alerts and execute periodic jobs like performance dashboards, predictive models scoring for client’s work 

9. Define and build technical/data documentation and experience with code version control systems (e.g. git). Ensure data accuracy, integrity and consistency 

10. Find opportunities to create, automate and scale repeatable financial and statistical analysis for Visa Consulting and Analytics. 

11. Collaborate with Data Engineering teams in North America and other Global regions to production and maintenance of key data assets. 

12. Strong written, verbal, and interpersonal skills needed to optimally communicate technical insights and recommendations with business customers and leadership team. 

Basic Qualifications 

4-6+ yrs. Work experience with a Bachelor’s Degree or 3+ years of work experience with a Master's or Advanced Degree in an analytical field such as computer science, statistics, finance, economics or relevant area. 

Preferred Qualifications 

8-10+ yrs. Work experience with a Bachelor’s Degree or 4+ years of work experience with a Master's or Advanced Degree in an analytical field such as Computer Science, Statistics, Finance, Economics or relevant area. 

Technical skills: 

• Strong experience in Hadoop/Big Data Environment creating large scale data engineering pipelines, data-based decision-making, and quantitative analysis 

• Strong Experience with Visualization Tools like Tableau, Power BI, D3 and exposure to code version control systems (git) 

• Strong Expertise with Cloudera/ Hortonworks platform with sophisticated experience in writing and optimizing efficient SQL queries with Python, Hive, Scala handling Large Data Sets in Big-Data Environments 

• Experience with sophisticated, high volume, multifaceted data, as well as machine learning models based on unstructured, structured, and streaming datasets 

• Experience with SQL for extracting, aggregating and processing big data Pipelines using Hadoop, EMR & NoSQL Databases 

• Experience creating/supporting production software/systems and a proven track record of identifying and resolving performance bottlenecks for production systems 

• Experience with Unix/Shell or Python scripting and exposure to Scheduling tools like Oozie and Airflow 

• Exposure to stream-processing systems like Apache Storm, Spark-Streaming 

• Proven understanding of Hadoop ecosystem and associated technologies, (For e.g. Apache Spark, MLlib, GraphX, iPython, sci-kit,Pandas etc.) 

• vices, credit cards or merchant analytics is a plus, but not required

Work Hours: Varies upon the needs of the department.

Travel Requirements: This position requires travel 5-10% of the time.

Mental/Physical Requirements: This position will be performed in an office setting.  The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

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.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.