Job Description And Responsibilities
Visa Consulting and Analytics (VCA), the consulting arm of Visa, is a global team of industry experts in strategy, marketing, operations, risk and economics consulting, with decades of experience in the payments industry.
Our VCA teams offers,
Consulting services customized to the needs of Visa client's business objectives and strategy
Business and economic insights and perspectives that impact business and investment decisions
Self-service digital solutions Visa clients can leverage to improve performance in product, marketing and operations
Proven data-driven marketing strategies to increase clients' ROI
VCA team is looking for a passionate individual to join our consulting practice and play a role in the data engineering team.
The ideal candidate is adept at using big data sets to understand our client's challenges and deploy targeted solutions to drive meaningful benefits, leveraging our world-class payment knowledge, in combination with our diverse service offerings to address key strategic needs for Visa's clients including issuers, acquirers and merchants.
He / She must have experience using a variety of data mining / data analysis methods, using a variety of distributed data platforms, and leveraging the latest open-source technologies.
He / She must have a proven ability to drive business results with their data-based insights. Adept at creative and critical thinking, be able to deconstruct problems and transform insights into large scale, state-of-the-art solutions.
Facilitate campaign management for Visa Managed Service partners
Provide technical support along our strategic service offering to build stronger and lasting relationships with clients
Setup platforms, configurations, and capabilities required to manage services with excellence on behalf of the client
Build and maintain high performing ETL processes, including data quality and testing aligned across technology, internal reporting and other functional teams
Experience in automation of code deployment across multiple platforms
Strong knowledge in Linux Shell Commands and Linux environments (RHEL 6 / 7, RHCSA / RHCE, CentOS)
Experience developing fully automated standardized data solutions at scale with monitoring tools and data quality checkpoints
Leverage DevOps to create end-to-end streamline CI / CD data pipelines and workflow orchestration in agile teams
Ability to articulate complex architectures to non-technical audiences, management, and leadership
Continuously research industry best practices and technologies to develop, improve and innovate Visa data engineering capabilities
Evangelize consumer centric solutions and data driven culture through internal training, documentation and by leading sharing sessions across the organization
Engage, collaborate, and become a trusted partner of the hub and market teams to identify and address consumer needs
Partner with peers in other functional areas (e.g., Products, Technology, Innovation, Merchants, Marketing) and across global and regional teams to execute projects in ways that leverage the breadth and depth of Visa’s resources
Hands-on experience extracting and manipulate big data (terabytes and petabytes) using distributed database platforms and tools such as Apache Hadoop, Hive, Kafka, PySpark, and Tuber.
Demonstrate experience leveraging open-source tools like Jupyter Notebooks, Presto, and git to develop next level data driven solutions
Strong programming ability in different programming languages such as Python and SQL.
Proficient with git for version control and team code collaborate
Problem solving ability and process creator with strategic focus on replicability, scalability, innovation, and governance
Competence in basic marketing concepts and impact on business
Experience with data visualization and business intelligence tools like Tableau, PowerBI, or other programs
Fluency in English / Spanish (spoken / written). Portuguese is a plus
The following skills will be considered as a plus,
Experience in developing integrated cloud applications with services like AWS, Azure Cloud, and Google Cloud Platform.
Experience of managing / working in Agile teams
This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office two days a week, Tuesdays and Wednesdays with a general guidepost of being in the office 50% of the time based on business needs.
BA / BS required, MBA or other relevant Master’s degree preferred (e.g. engineering, computer science, computer engineering, applied mathematics, or other related fields)
At least 8 years of experience as data engineer or data scientist with open-source tools
Experience in retail banking, payments, financial services, and / or technology industries is a plus. Strong interest in the future of payments is a must.
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.
Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.