Data Engineer (1 to 2 years experience, Spark, Scala, Python)

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

Payments Industry is a very exciting and fast-developing area with lot of new and innovative solutions coming to market. With strong demand for new solutions in this space, it promises to be an exciting area of innovation. VISA is a strong leader in the payment industry and is rapidly transitioning into a technology company with significant investments in this area.

If you want to be in the exciting payment space, learn fast and make big impacts, Ecosystem & Operational Risk technology which is part of Visa’s Value-Added Services business unit is an ideal place for you!

In Ecosystem & Operational Risk (EOR) technology group, we are responsible for building Visa’s cutting-edge risk detection and mitigation capabilities including payment fraud disruption. This includes idea generation, architecture, design, development, and testing of products, applications, and services that provide Visa and its clients with solutions to detect, prevent, and mitigate various threats in the overall payment eco system.

Are you skilled at turning hard numbers into compelling stories and useful strategic insights? Do you solve complex data challenges with creative flair? Put those skills to work answering strategic questions for one of the world's most respected and innovative payments companies.

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:
• Bachelors degree, OR 3+ years of relevant work experience

Preferred Qualifications
• 1 or more years of 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 at least 3 years of work experience with a PhD
• Minimum of 1+ years of experience in building large-scale applications using open-source technologies. Design and coding skills with Big Data technologies like Hadoop, Spark, Scala, Java, Hive, HBase, Oozie, Data APIs, streaming and Map Reduce.
• Hands-on expertise with Spark/Scala or Spark/Java or Spark/Python.
• Experience with highly distributed, scalable, concurrent, and low latency systems.
• Experience with Agile methodologies. Work experience in improving the client experience.
• Excellent analytical and problem-solving skills with a strong automation and customer mindset
• Ability to handle multiple competing priorities in a fast-paced environment
• Must have strong interpersonal and communication skills (written and verbal). Should be comfortable facilitating multi-team activities.
• Payment processing background is a big 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.