Manager, Data Engineer, CEMEA Visa Consulting and Analytics
- Full-time
- Job Family Group: Sales and Business Development
Company Description
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.
Job Description
Position Summary
We are looking for an individual contributor with deep expertise in building large-scale data processing systems by using the latest database and data processing technologies. This position plays a critical role in enabling the data platforms through which Data Scientists, Analysts, and BI Users drive solutions for our Visa clients. Also, the role provides a bridge between our local end-users and our Visa Technology colleagues in San Francisco, influencing the development of our global data platforms whilst provisioning local tools and technologies as required. The Data Engineer takes responsibility for building and running data pipelines, designing our data warehouses and data frameworks
The Global Data Science team is the engine of analytics at Visa; this is a high-performing team of data scientists, data analysts, statisticians, and business analysts from a variety of countries – serving the Asia Pacific, Central Europe, Middle East and Africa geographies.
Visa DS is looking for a hands-on manager, a person that earns trust and respect of the team. The Manager must be results oriented, highly organized, and must, must be focused on delivering innovative analytics work. As Data Engineer you will be responsible for designing, developing and delivering data solutions through best in class architected solutions.
Principal Responsibilities
- Design local modifications to our global data architecture, including new tools and technologies where necessary to meet local requirements
- Create and maintain optimal data pipeline architecture(s), based on our Global Technology Stack
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability
- Executing medium to large analytic projects along with rest of the stakeholders in the Visa data science team and Client team
- Performing QA on data and deliverables by analysts and own deliverables
- Ensuring all project documentation is up to date and all projects are reviewed per analytic plan
- Building on team’s analytical skills and business knowledge
- Develop custom-built packages to support the needs of Data Scientists
- Work with broader business stakeholders to assist clients and consultants with their data and infrastructure needs
Qualifications
• 5 - 8 years' application development and support experience.
• Deep knowledge of distributed data architecture, commonly-used BI tools, and approaches/packages deployed for machine learning build
• Experience creating production software in Python and/or Scala, and a proven track record of identifying and resolving performance bottlenecks for production systems.
• Experience with complex, high volume, multi-dimensional data, as well as machine learning models based on unstructured, structured, and streaming datasets.
• Good understanding of the Payments and Banking Industry including aspects such as consumer credit, consumer debit, prepaid, small business, commercial, co-branded and merchant
• Demonstrated ability to incorporate new techniques to solve business problems
Technical Expertise
• Qualification in Computer Science or Engineering ideal.
• Certification in Hadoop (Cloudera or Hortonworks) and Apache Spark ideal.
• Experience in developing production systems, with software engineering governance practices in place e.g, Object orientation, functional programming, unit testing frameworks, CI/CD and job scheduling technologies
• Data acquisition and provisioning through various modes and channels, e.g., Batch, real-time, event-driven architecture, APIs, etc.
• Working knowledge of Hadoop ecosystem and associated technologies, e.g., Hadoop, Hive, Apache Spark, Kubernetes, Kafka, etc.
• Advanced experience in writing and optimizing efficient SQL queries and scripts; Scala experience is ideal
• Deliver results within committed scope, timeline and budget
Business Experience
• Results-oriented with strong problem solving skills and demonstrated intellectual and analytical rigor
• Good business acumen with a track record in solving business problems through data-driven quantitative methodologies. Experience in payment, retail banking, or retail merchant industries is preferred
• Team oriented, collaborative, diplomatic, and flexible style, with the ability to tailor data driven results to various audience levels
• Very detailed oriented, is expected to ensure highest level of quality/rigor in reports and data analysis
• Exhibits intellectual curiosity and a desire for continuous learning
Leadership Competencies
• Exhibits intellectual curiosity and a desire for continuous learning
• Demonstrates integrity, maturity and a constructive approach to business challenges
• Role model for the organization and implementing core Visa Values
• Respect for the Individuals at all levels in the workplace
• Strive for Excellence and extraordinary results
• Use sound insights and judgments to make informed decisions in line with business strategy and needs
• Leadership skills include an ability to allocate tasks and resources across multiple lines of businesses and geographies. Leadership extends to ability to influence senior management within and outside Analytics groups
• Ability to successfully persuade/influence internal stakeholders for building best-in-class solutions