Sr. Data Engineer

Visa•Austin, TX

11d•Hybrid

About The Position

Visa Technology & Operations LLC, a Visa Inc. company, needs a Sr. Data Engineer (multiple openings) in Austin, TX to: Solve challenging business problems and build applications that provide an excellent user experience. Member of PSR development team focusing on design and building software solutions that leverage data to solve business problems. Design brand-new software solutions, and refactor existing functionality for performance and maintainability. Develop more efficient data driven solutions to customers. Perform analysis using data engineering skills and extensive data pipeline development experience. Lead hands-on data engineering activities including POCs, architecture, design, documentation, development and test of new data pipelines and feature data support for our ML/AI driven fraud detection platforms. Position reports to the Austin, Texas office and may allow for partial telecommuting.

Requirements

Bachelor’s degree in Computer Science, Computer Engineering or related field and 2 years of experience in the job offered or in a data engineer-related occupation.
Alternative, a Master’s degree in Computer Science, Computer Engineering or related field.
Creating data driven business solutions and solving data problems using technologies such as Hadoop, Hive, Spark, Kafka, Redis, and NoSQL.
Writing complex/advanced SQL queries.
Working in a Unix/Linux environment.
Application development in Java, Python, or similar frameworks.
Automation tools such as Jenkins, Artifactory, and Git.

Responsibilities

Solve challenging business problems and build applications that provide an excellent user experience.
Member of PSR development team focusing on design and building software solutions that leverage data to solve business problems.
Design brand-new software solutions, and refactor existing functionality for performance and maintainability.
Develop more efficient data driven solutions to customers.
Perform analysis using data engineering skills and extensive data pipeline development experience.
Lead hands-on data engineering activities including POCs, architecture, design, documentation, development and test of new data pipelines and feature data support for our ML/AI driven fraud detection platforms.