Common Purpose, Uncommon Opportunity. Everyone at Visa works with one goal in mind – making sure that Visa is the best way to pay and be paid, for everyone everywhere. This is our global vision and the common purpose that unites the entire Visa team. As a global payments technology company, tech is at the heart of what we do: Our VisaNet network processes over 13,000 transactions per second for people and merchants around the world, enabling them to use digital currency instead of cash and checks. Our advanced technology are enabling merchants to accept payments online and in store with first-class reliability and security. If you have a passion to make a difference in the lives of people around the world, Visa offers an uncommon opportunity to build a strong, thriving career. Visa is fueled by our team of talented employees who continuously raise the bar on delivering the convenience and security of digital currency to people all over the world. Join our team and find out how Visa is everywhere you want to be.

DaaS development is building the Next Generation Data processing platform with cost-effective and distributed applications on commodity hardware using best-in-class technology components. Building next generation DaaS applications require collaboration with exceptional group of software engineers, Data architects, DevOps engineers, payment experts and infrastructure architects.

Design and implement Big Data analytic solutions on a Hadoop–based platform. Create custom analytic and data mining algorithms to help extract knowledge and meaning from vast stores of data. Refine a data processing pipeline focused on structured, unstructured and semi-structured data refinement. Support quick turn and rapid implementations and larger scale and longer duration analytic capability implementations. This position is opened for VISA Palo Alto office location.

Responsibilities:

• Design, implement and deliver complete analytic solutions for customers.
• Own the data architecture, build and maintain high performing ETL processes, including data quality and testing
• Define and build technical/data architecture for data warehouse, data marts and big data solutions (including data and dimensional modeling)
• Develop analytics with a mind toward accuracy, scalability and high performance
• Provide technical guidance and thought leadership to other programmer analysts in the team.
• Establish lean data governance to drive data standards and data quality. Be an evangelist in the company for data-informed thinking and decision-making.

• 7+ years of experience working with large amounts of data, ideally in financial industry
• Data store or NoSQL, including Cloudbase, HBase, or Big Table
• Experience in MapReduce programming with Apache Hadoop and Hadoop Distributed File System (HDFS) and with processing large data stores
• Experience with the design and development of multiple object–oriented systems
• Experience with extending Free and Open–Source Software (FOSS) or COTS products
• Ability to show flexibility, initiative, and innovation when dealing with ambiguous and fast–paced situations
• Experience with Cloudera Hadoop
• Experience with Data modelling
• Experience with using repository management solutions
• Experience with deploying applications in a Big Data environment
• Experience with designing and developing automated analytic software, techniques, and algorithms
• Experience with providing architecture artifacts (High Level Design document, solution design, architecture diagrams…)
• Working knowledge of version control systems such as Subversion or Git, and bug tracking tools such as JIRA
• Excellent verbal and written communication skills
• Understanding of architectural principles and design patterns / styles using parallel large-scale distributed frameworks such as Hadoop / Spark
• Knowledge of working in UNIX environment with good amount of shell scripting and python experience. Knowledge in spring, Core Java, MapReduce.
• A Master’s degree in Computer Science, Engineering or a related discipline from an accredited university

All your information will be kept confidential according to EEO guidelines.