Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across 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.

When you join Visa, you join a culture of purpose and belonging – where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world – helping unlock financial access to enable the future of money movement.

Join Visa: A Network Working for Everyone.

Are you a Data Warehousing specialist? Do you like to solve the most complex and large-scale data challenges?

Do you want to have an impact on the development and use of new Analytics technologies? Come join us.
 

Our HR and Learning systems landscape are comprised of home-grown and vendor applications such as Workday, ADP, Smart Recruiters, Degreed, Absorb, and many others.  We have embarked on a major transformation journey to leverage a variety of vendor applications and custom software, to build a connected systems architecture, that is reliable, trusted, responsive, and always available. We are creating the next generation of employee experiences and journeys via self-service portals, embedding HR capabilities within commonly used applications, applying Artificial Intelligence & Machine Learning, mastering Data management and insights, and applying Automation. 
 

We are looking for a Senior Data Engineer to build next generation analytics and reporting platform. The successful candidate will be a well-rounded data warehouse SME with a strong expertise and experience with data warehouse design and modelling, infrastructure and ETL Processes and Framework.
 

Job Responsibilities:

• Creation & ongoing maintenance of custom data warehousing, reporting, and data-delivery solutions to support strategic and analytical data uses as well as supporting system integration needs that rely on data manipulation to make analysis and visualization possible.
• Work directly with business teams and internal customers to analyze & understand business needs in support of the Enterprise Data Strategy.
• Design and implement a flexible platform for operational data stores, data warehouses, data marts and data lakes using standard practices as well as documenting the systems of record, data dictionaries and data flow diagrams for strategic data management.
• Translate business and functional requirements into robust, scalable, operable solutions that work well within the overall data architecture.
• Implement best practice data quality assurance mechanisms.
• Create process flows, high-level functional and detailed technical design specifications.
• Participate in the full development life cycle, end-to-end, from design, implementation and testing, to documentation, delivery, support, and maintenance.
• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.
• Ability to make good judgments, decisions, negotiate and problem solve.
• Do POCs on the latest cloud technologies like Azure/AWS.