Data Engineer- Sr. Consultant level- Data Serving

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

The Data division is part of the Visa's technology organization. The division is responsible for maintaining Visa's data assets and provides value added products and services to drive innovation for our partners and clients, within Visa and globally. The Data Platform Department is dedicated to provide systems and services to make data secure, high quality, rich, fast, and easy to use, therefore enabling Visa with the ability to leverage its data asset in an effective and timely manner to maximize technology/business development and differentiate Visa from others in the payment industry.

Essential Functions:

A successful candidate is who thrives in a fast-paced environment, has customer obsession, thinks big, and knows to simplify.  The candidate will leverage sound architectural principles to implement effective and efficient solutions for our users.

The ideal candidate has strong technical background in real-time data processing and have a good written and verbal communication skills. The ideal candidate has production experience building a modern real-time application, is passionate about performance, testability, and maintainability, cares about quality of code, and loves to learn new technologies.

• Responsible for managing project or release and providing guidance to other teammates
• Define and deliver high quality code for features and bug fixes working independently
• Enhance and support production systems
• Subject matter expert in data domain and related technology
• Follows established software development guidelines and Visa security standards
• Build and maintain relationships with the agile team, the user community, architects, and support teams to understand requirements and implement effective solutions
• Work closely with the development team to implement the required solutions following agile practices
• Identify opportunities for further enhancements and refinements to standards and processes
• Keep up with industry in terms of technology and best practices and help drive innovation internally.
• Support and coach junior engineers.

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 3 set days a week (determined by leadership/site), with a general guidepost of being in the office 60% or more of the time based on business needs.

Qualifications

Basic Qualifications:
• 8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD.

Preferred Qualifications:
• 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD.
• 5+ years working with real-time technologies such as Kafka, KStreams and Flink. 3+ years working with Big Data technologies such as Spark, Hive, YARN.
• Excellent Java and Python programming skills. GoLang is a plus.
• Knowledge of Computer Science fundamentals such as object-oriented design, algorithm design, data structures, problem solving, and complexity analysis.
• Experience working in fast pace Agile environment with good software development practices such as CI/CD, code reviews and test automation.
• Familiarity with Kubernetes highly preferred.
• Experience with implementing and supporting real-time systems in production handling tens of thousands of events per seconds is a plus.
• Experience with RDBMS and NoSQL databases like MySQL, DB2, Redis and Cassandra.

Additional Information

Work Hours: Varies upon the needs of the department.

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

Mental/Physical Requirements: This position will be performed in an office setting.  The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently opera