Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart, and accessible. Our technology and innovation, partnerships, and networks combine to deliver a unique set of products and services that help people, businesses, and governments realize their greatest potential.
Title and Summary
Senior Software Development Engineer
Our Purpose: We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company.
Overview
Be part of MasterCard's Decision Management Platform, which serves as the decisioning engine for multiple business solutions to combat fraud and validate cardholder identity. Our patented Java-based platform processes billions of transactions per day in tens of milliseconds using a multi-tiered, message-oriented approach for high performance and availability.
The Senior Software Engineer role is responsible for working with teams across the company to implement new data solutions while maintaining the stability of the platform. You’ll work within the Fraud Data Engineering team to grow their knowledge and expertise. You will get the chance to work with extremely large data sets and be on the cutting edge of transforming the way Mastercard captures, processes, stores, and visualizes transactional data.
Primary Responsibilities
1. 6 to 8 years’ experience working in software application development as a programmer
2. Strong and solid knowledge of software engineering principles and practices.
3. Proven experience in developing data processing applications using Scala, Python 3.10+
4. Strong understanding of software engineering best practices, design patterns, and the ability to write highly maintainable and readable code.
5. Demonstrated professional expertise in understanding and implementing OO design patterns, developing container-based applications in a microservices architecture, using state-of-the-art software engineering best practices.
6. Curious, and eager to learn, willing to expand technical skills while helping other team members to grow.
7. Expertise with Big Data Hadoop platforms like Databricks, Cloudera, Teradata, etc., and solid fundamental understanding of the Hadoop architecture.
8. Creativity and passion for tackling challenging data problems and complex algorithmic issues, and willingness to work in a start-up environment.
9. Experience with Git or other similar version control software.
10. Experience and commitment in developing high quality, robust, scalable, and maintainable software. Knowledge of testing frameworks, CI/CD, test automation, and software monitoring and alerting.
11. Experience working in a high performant collaborative agile team environment.
12. Strong communication and interpersonal skills.
What would also be great to have:
1. Experience working with relational and NoSQL databases (such as tuning and optimizing complex queries for highly scalable systems) and query languages (specifically Hive/SparkSQL and ANSI SQL).
2. Experience building large scale Spark 3.x applications & data pipelines, ideally with Batch processing running on Hadoop clusters.
3. Experience with messaging queues such as Kafka, RabbitMQ, or JMS and reactive architecture paradigm.
4. Experience designing and developing highly available fault tolerant software.
5. Experience in architecture and development of data models and data dictionaries in big data systems.
6. Familiar with at least one large cloud computing provider like Azure, AWS, or IBM cloud, in this order of preference.
7. Experience designing and implementing highly secure software and solutions. Knowledge with secure vulnerability tools such as Checkmarx.
8. Proven hands-on coding experience with data analytics platforms and workflow engines.
9. Experience in operating a UNIX shell and reading and developing simple shell scripts.
10. 1-2 years’ experience designing software systems, and mentoring junior software engineers.
Skills/ Abilities
* Must be high-energy, detail-oriented, proactive and have the ability to function under pressure in an independent environment.
* Must provide the necessary skills to have a high degree of initiative and self-motivation to drive results.
* Possesses strong communication skills -- both verbal and written – and strong relationship, collaborative skills, and organizational skills.
* Willingness and ability to learn and take on challenging opportunities and to work as a member of matrix based diverse and geographically distributed project team.
About Mastercard
In the US, Mastercard is an inclusive Equal Employment Opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
If you require accommodations or assistance to complete the online application process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
Corporate Security Responsibility
* Abide by Mastercard’s security policies and practices.
* Ensure the confidentiality and integrity of the information being accessed.
* Report any suspected information security violation or breach.
* Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.
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