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.

Visa’s Technology Organization is a community of problem solvers and innovators reshaping the future of commerce.   We operate the world’s most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people.   While working with us you’ll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms.     
 

The Opportunity: 

We are looking for versatile, curious, and energetic Data Engineers who thrive on solving complex challenges on a global scale. As a Data Engineer at Visa, you will be an integral part of a multi-functional development team, working on architecting intricate big data systems and developing diverse analytical practices to address complex data challenges. You will leverage your comprehensive knowledge of ETL and data engineering techniques to develop and maintain data and tools that provide self-service capabilities to business users. While solving or consuming large transactional data, you will work with powerful payment technology and witness your efforts shaping the digital future of monetary transactions. Your ability to work across functions and teams will drive results and foster a culture of engineering excellence and innovation. We seek motivated individuals who take initiative and have a knack for rapid learning.

Key Responsibilities :

A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale

Develop and maintain scalable data pipelines, ETL processes, and data warehousing solutions.

Ensure data security and compliance with best practices and regulations.

Utilize tools like Spark, Hadoop, Hive, Scala, Python, and SQL for data analysis and processing.

Apply knowledge of Agentic AI and Generative AI models, including GPT-3 and GPT-4, to develop innovative data solutions.

Create innovative prototypes and regularly influence senior leadership through continuous prototyping.

Work effectively both as a team member and independently with minimal supervision.

The Skills You Bring:

Energy and Experience: A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale

Challenge the Status Quo: Comfort in pushing the boundaries, ‘hacking’ beyond traditional solutions

Language Expertise:
Expertise in one or more general development languages (e.g., Python, Java, Spark)
Experience in solving data problems using technologies such as Hadoop, Hive, and Spark.

Builder: Experience building and deploying modern services and web applications with quality and scalability

Learner: Constant drive to learn new technologies such as data models, data mining, and segmentation methods, along with proficiency in developing scalable platforms from scratch, including architecture design, implementation, and deployment.

Partnership: Experience collaborating with Product, Data Analysts, and Agile/Scrum teams to provide data insights and support analytical needs.
 

**We do not expect that any single candidate would fulfill all of these characteristics. For instance, we have exciting team members who are really focused on building scalable systems but didn’t work with payments technology or web applications before joining Visa.
 

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.

Basic Qualifications:
Associate: Minimum of 6 months of work experience or a Bachelor's Degree

Preferred Qualifications:
Associate: 2 or more years of work experience
•1 - 3 years of work experience with a Bachelor’s Degree or Master's Degree in computer / information science with relevant work experience in IT industry
•Enthusiastic, energetic and self-learning candidates with loads of curiosity and flexibility.
•Proven hands-on capability in the development of data pipelines and data engineering.
•Experience in creating data-driven business solutions and solving data problems using technologies such as Hadoop, Hive, and Spark.
•Ability to program in one or more scripting languages such as Python and one or more programming languages such as Java or Scala.
•Familiarity with AI-centric libraries like TensorFlow, PyTorch, and Keras.
•Familiarity with machine learning algorithms and statistical models is beneficial.
•Critical ability to interpret complex data and provide actionable insights. This encompasses statistical analysis, predictive modeling, and data visualization. 
•Extended experience in Agile Release Management practices, governance, and planning.
•Strong leadership skills with demonstrated ability to lead global, cross-functional teams.