Data Engineer Manager

Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in 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 while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

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

The Machine Learning Operations (MLOps) team under Data Science LAC is a multidisciplinary group responsible for designing robust data infrastructures, developing innovative machine learning solutions, enforcing data governance standards, and aligning machine learning projects with business objectives to drive business value and revenue generation in VCA LAC.

The ideal candidate for the Machine Learning Solutions within MLOPs is a talented professional capable of developing state-of-the-art data solutions and enhancing existing ones to address complex business problems.

Responsibilities

• Focusing on MLOps, working closely with the Machine Learning Solutions team to automate and integrate their models into an end-to-end automated workflow.
• Enhance the efficiency of the data engineering operating system by integrating and connecting diverse data platforms across the Visa technology ecosystem.
• Utilizing accelerated computing technology and computing clusters to improve our data engine and boost performance on large-scale data analytics.
• Implementing data quality checkpoints across ML solutions to promote confidence among data users.
• Creating data governance strategies to ensure consistent and accurate data and ML products.
• Translate data into relevant insights and introduce innovative approaches to upgrade data engineering processes.
• Guiding the Machine Learning Solutions team on best practices around automation, deployment, and optimization and providing feedback to increase efficiency in projects.
• Collaborating with practice areas in Machine Learning Solutions, Core Data Engineering, and global teams to leverage Visa's resources effectively.
• Communicating complex architectures to non-technical audiences, management, and leadership.
• Understanding and deploying fully automatic data applications for internal and external clients using VisaNet data and platform ecosystem.
• Leveraging DevOps to streamline CI/CD data and Machine Learning pipelines.
• Keeping updated with industry best practices and technologies.
• Evangelize automation and standardization across the organization.

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 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Qualifications

Basic Qualifications:

• 5 or more years of relevant work experience with a Bachelor’s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD

Preferred Qualifications:

• At least 5 years of experience as data engineer or data scientist with open-source tools.
• BA/BS required, MBA or other relevant Master’s degree preferred (e.g. engineering, computer science, computer engineering, applied mathematics, or other related fields)
• Experience in retail banking, payments, financial services, and/or technology industries is a plus. Strong interest in the future of payments is a must.
• Strong technical competency and experience with shell-scripting and Linux systems.
• Experience with CI/CD pipeline using Azure DevOps, GitHub actions, Jenkins, or Airflow.
• Strong coding skills in Spark, Python and SQL to manipulate big data distributed platforms.
• Good to have experience in navigating in Linux/Unix/Container based apps such as Docker, Kubernetes, or Microservices environments.
• Ability to interact with big data clusters using Jupiter Notebooks, terminal, or GUI.
• Demonstrate experience leveraging open-source tools, libraries, and platforms.
• Experience with data visualization and business intelligence tools like Tableau, PowerBI, Microstrategy, or Excel.
• Problem solving ability and process creator with strategic focus on replicability, scalability, innovation, and governance.
• Proficient with git for version control and code collaboration using branches and pull requests.
• Must be passionate about automation and data and able to deliver high quality work.
• Experience developing as part of Agile/Scrum team.
• Fluency in English/Spanish (spoken/written). Portuguese is a plus.

Additional Information

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.