Join Visa: A World Leader in Payments and Technology

Company Description

Visa is a global leader in payments and technology, facilitating over 259 billion secure payment transactions annually across more than 200 countries and territories. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, empowering individuals, businesses, and economies. By working at Visa, you'll be part of a purpose-driven organization committed to uplifting everyone, everywhere by offering the best way to pay and be paid.

Make an Impact with a Purpose-Driven Industry Leader

Embark on a career journey with Visa and experience Life at Visa. We are at the forefront of the Gen AI revolution, developing a strategic vision for our Benefits, Loyalty, and Marketing platforms. Join our team and contribute to making Visa the world-leading data-driven payments company.

Job Description: Sr. Staff Data Engineer

As a Sr. Staff Data Engineer, you will be a key player in our Digital Marketing Experience, Benefits & Loyalty team within the Value Added Services group at Visa. Your primary responsibilities will include architecting complex big data systems and developing diverse analytical practices to address intricate data challenges.

This hybrid role allows you to alternate between remote work and office presence. Hybrid employees are expected to work from the office 2-3 set days a week, with a general guideline of being in the office at least 50% of the time based on business needs.

Qualifications

Basic Qualifications:

• A minimum of 10 years of professional experience with a Bachelor’s Degree, or over 8 years with an Advanced Degree (e.g., Master’s in computer science or a related field).

Preferred Qualifications:

• Strong foundation in Computer Science with competencies in data analytics, data engineering, and problem-solving skills.
• Proficiency in data models, data mining, and segmentation methods.
• Skillful in analyzing business needs and creating/providing technical documentation of solutions.
• Expertise in data analysis tools and software, including Hadoop, Hive, Scala, Python, and SQL.
• Knowledge of data visualization tools like Tableau, Power BI, or Datorama.
• Familiarity with machine learning algorithms and statistical models is beneficial.
• Proven capability in developing long-term architectures for data-driven analytics.
• Experience in building data pipelines and transforming these data metrics into meaningful data visualizations.
• Exceptional numerical and analytical skills to identify problems, analyze information, and develop solutions are vital in this role.
• Responsible for collecting, organizing, and interpreting data to drive marketing decisions, including statistical analysis, predictive modeling, and data visualization.
• Excellent communication and presentation skills to effectively convey findings to non-technical team members and stakeholders.
• Experience working in an Agile environment with the ability to manage multiple projects and meet deadlines.

Additional Information

Visa is an Equal Employment Opportunity (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 also considers qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local laws.

Company Name: Visa
Job Title: Sr. Staff Data Engineer