Data Engineer- Data Science Platform

@ Visa

Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payment networks, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

Essential Functions:

We are looking for a data engineer to join our merchant data platform data science and modeling team to help build next-generation AI-powered merchant ecosystem. In this role, you will help build machine learning solutions to enhance merchant data, discover insights, ensure data quality and power cross-functional peers to unleash merchant data potential.

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:• Minimum of 6 months of work experience or a Bachelor's Degree.

Preferred Qualifications:

• Skilled in SQL, Python and basic libraries for machine learning such as scikit-learn and Pandas, as well as Jupyter Notebook.
• Experience with Big Data and analytics in general leveraging technologies like Hadoop, Spark, and Query Engines.
• Relevant experiences in modeling techniques such as logistic regression, Naive Bayes, SVM, decision trees, natural language processing or neural networks.
• Experience in Automation framework such as Airflow, Metaflow.
• Experience in MLOps and production machine learning systems at large scale.
• Experience in DevOps and CI/CD tooling and concepts such as docker and Jenkins.
• Experience in cloud services (AWS preferable – SageMaker, EMR, Glue).
• Understand ML infrastructure concepts such as feature store, batch inference and model pipeline orchestration.

Additional Information

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.