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 payments network, 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.
The Client Services Data & AI team strives to create an open, trusting data culture where the cost of curiosity – the number of steps, amount of time, and complexity of effort needed to use operational data to derive insights – is as low as possible. We govern Client Services’ operational data and metrics, create easily usable dashboards and data sources, and analyze data to share insights.
We are a part of the Client Services Global Business Operations function and work with all levels of stakeholders, from executive leaders sharing insights with the C-Suite to customer-facing colleagues who rely on our assets to incorporate data into their daily responsibilities.
This specialist role makes data available from new sources, builds robust data models, creates and optimizes data enrichment pipelines, and provides engineering support to specific projects. You will partner with our Data Visualizers and Solution Designers to ensure that data needed by the business is available and accurate and to develop certified data sets. This technical lead and architect role is a force multiplier to our Visualizers, Analysts, and other data users across Client Services.
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.
• 10+ years of analytics experience with a focus on data engineering
• Experience with both traditional data warehousing tools and such as Hadoop, Denodo, Spark, Airflow, and Python and a solid understanding of best practices in data engineering
• Strong experience with SQL, Python, and relational databases
• Advanced knowledge of SQL (e.g., understands subqueries, self-joining tables, stored procedures, can read an execution plan, SQL tuning, etc.)
• Solid understanding of best practices in data warehousing, ETL, data modeling, and data architecture.
• Strong understanding of best practices in data governance, data validation, and data quality checks
• Experience with cloud-based data warehousing and data pipeline management (AWS, GCP, Azure)
• Experience in Python, Spark, and exposure to scheduling tools like Airflow is preferred.
• Able to create data dictionaries, setup and monitor data validation alerts, and execute periodic jobs to maintain data pipelines for completed projects
• Experience with visualization software (e.g., Tableau, QlikView, PowerBI) is a plus.
• Strong problem-solving and analytical skills
• Effective communicator of statuses, issues, and risks
• Extremely high sense of quality standards and attention to detail
• A team player and collaborator, able to work well with a diverse group of individuals in a matrixed environment
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.