Data Engineer

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 is seeking a Data Engineer to join our Value Added Services – Digital Marketing & Engagement organization. In this role, you will help design, enhance, and build our data infrastructure and pipelines within an agile development environment. You will collaborate with colleagues who will support and challenge you daily, contributing to the development of innovative data solutions.

Essential Functions

• Design, develop, and maintain robust and scalable data pipelines and ETL processes.

• Ensure data services are highly available, secure, scalable, and resilient.

• Drive innovation to differentiate our data products and accelerate time-to-market delivery.

• Utilize containerization technologies such as Docker and Kubernetes, and expertise in programming languages like Java and Python, along with both relational and non-relational databases.

• Apply your data engineering skills with Hadoop, Spark, and Scala.

• Represent the team in various technical forums and build deep partnerships with product management.

• Analyze business requirements to architect highly secure, robust, and scalable data solutions.

• Lead internal proof of concept initiatives and quickly design and implement prototypes.

• Champion efforts to design and implement components of our global data processing systems.

• Follow and create software best practices and processes.

• Play a key role in meetings and discussions with cross-functional and non-technical teams.

• Collaborate with customers to understand their requirements and build solutions that deliver real value.

• Architect, design, and implement secure, robust, and scalable data solutions.

• Drive proof of concept initiatives and lead implementation.

• Engage in meetings and discussions with cross-functional teams.

• Work in a hybrid environment, alternating between remote and office work.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications

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

Preferred Qualifications:
2 or more years of work experience
Less than 2 years of relevant work experience with either a Bachelor's or Master's degree in Computer Science, Computer Engineering, Information Systems, Cybersecurity, Business, or a related field, graduating between January 2024 and August 2025.
Strong communication skills, including clear and concise written and spoken communications that demonstrate professional judgment.
Experience with programming languages such as Python, Java, Scala, C++, Rust, or Golang.
Basic knowledge of Distributed Systems and Data Structures.
Knowledge or experience with Big Data and ML platform services such as Apache Hadoop and Apache Spark.
Basic knowledge in ETL, data pipelines using Python, Shell Scripts, Apache Airflow, and Apache Kafka,building and populating data warehouses, and querying with BI tools.
Basic knowledge in RDBMS fundamentals- design and creation of databases, schemas, tables, DB administration, security, and working with MySQL and IBM Db2.
Basic knowledge in SQL query language, database functions, stored procedures, working with multiple tables, joins, and transactions.
Basic knowledge in NoSQL and Big Data concepts such as MongoDB and Cassandra.
Knowledge of best practices and IT operations in an always-up, always-available service.
Experience with or knowledge of Agile Software Development methodologies.
Ability to take on challenges and address problems head-on.
Strong ability to collaborate.
Highly driven, resourceful, and results-oriented.
Good team player with excellent interpersonal skills.
Good analytical and problem-solving skills.
Demonstrated ability to lead and navigate through ambiguity.

Additional Information

Work Hours: Varies upon the needs of the department.

Travel Requirements: This position requires travel 5-10% of the time.