Sr. Data Engineer (PySpark / Scala) at Visa

• Proficient in developing scalable data pipelines utilizing Spark (PySpark / Scala). • Demonstrated proficiency in Hadoop ecosystem. • Hands-on experience with distributed, scalable, concurrent, and low-latency systems, including database technologies like MySQL and NoSQL data warehouses such as HBase. • Experience working with Docker and Kubernetes. • Experience working with cloud platforms such as AWS or Azure. • Knowledge of GenAI and agentic frameworks is advantageous. • Experience working in an Agile and Test-Driven Development environment. • Experience with Continuous Integration and Automated Test tools such as Jenkins, Artifactory, Git, Selenium, Chef desirable. • Strong on driving for results and self-motivated, strong learning mindset, with good understanding of related advanced/new technology. • Keep up with the technology development in the related areas in the industry, which could be leveraged to enhance current architectures and build durable new ones. • Strategic thinker and good business acumen to orient data engineering to the business needs of internal clients. • Demonstrated intellectual and analytical rigor, strong attention to detail, team oriented, energetic, collaborative, diplomatic, and flexible style.This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.