Data Engineer

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 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.

Job Description

At Visa, the Corporate Information Technology, Billing & Incentives Platforms team, enables Visa's revenue growth through flexible pricing engines and global revenue platforms built on next-generation technologies. This includes managing system requirements, evaluating cutting-edge technologies, design, development, integration, quality assurance, implementation and maintenance of corporate revenue applications. The team works closely with business owners of these services to deliver customer developed solutions, as well as implement industry leading packaged software. This team has embarked on a major transformational journey to build and implement best of breed revenue and billing applications to transform our business as well as technology.  

The candidate should enjoy working on diverse technologies and should be excited to take initiatives to solve complex business problems and get the job done while taking on new challenges. You should thrive in team-oriented and fast-paced environments where each team-member is vital to the overall success of the projects.

Key Responsibilities

• Develop and maintain test automation scripts using PySpark for big data applications.
• Collaborate with data engineers and developers to understand data processing workflows and requirements.
• Design and implement automated tests for data ingestion, processing, and transformation in a Hadoop ecosystem.
• Perform data validation, data integrity, and performance testing for Spark applications.
• Utilize Spark-specific concepts such as RDDs, Data Frames, Datasets, and Spark SQL in test automation.
• Create and manage CI/CD pipelines for automated testing in a big data environment.
• Identify, report, and track defects, and work with the development team to resolve issues.
• Optimize and tune Spark jobs for performance and scalability.
• Maintain and update test cases based on new features and changes in the application.
• Document test plans, test cases, and test results comprehensively.
• Perform QA and manual testing for payments applications, ensuring compliance with business requirements and standards.
• Work with limited direction, usually within a complex environment, to drive delivery of solutions and meet service levels.
• Productively work with stakeholders in multiple countries and time zones.
• With active engagement, collaboration, effective communication, quality, integrity, and reliable delivery develop and maintain a trusted and valued relationship with the team, customers and business partners.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications

Basic Qualifications
Bachelors degree, OR 3+ years of relevant work experience

Preferred Qualification
bachelor’s degree in computer science, Information Technology, or related field.
Relevant certifications in Big Data, Spark, QA.
Experience with on premise infrastructure
Knowledge of ETL processes and tools.

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.