Visa is hiring a Director of Data Engineering in Bengaluru to lead the design, development, and deployment of scalable data pipelines, platforms, and ML/AI infrastructure using cloud-native technologies and big data frameworks to support advanced analytics and AI initiatives.
Scaling existing workAI / ML“The Director, Data Engineering leads the design, development, and deployment of scalable and secure data pipelines, platforms, and ML/AI infrastructure, leveraging cloud-native technologies and big data frameworks.”
Product areasData Engineering · Machine Learning Infrastructure · AI Infrastructure · Data Pipelines · Data Warehousing · Real-time Data Processing
GoalsSupport advanced analytics, machine learning, and AI initiatives · Improve productivity, scalability, and effectiveness of data engineering efforts · Ensure data security, privacy, compliance, system performance, scalability, and availability · Deliver robust data-driven business solutions
MarketsGlobal (200+ countries and territories)
TechCloud-native technologies · Big data frameworks · AWS · GCP · Azure · Spark · Kafka · Hadoop · ETL/ELT pipelines · Generative AI tools (e.g. ChatGPT, Microsoft Copilot) · TensorFlow · Ray · JAX · PyTorch · Horovod