Lead Data Engineer

Global digital fraud is projected to exceed $1 trillion in losses in 2025, spanning scams, identity theft, and synthetic fraud across financial services, e-commerce, and beyond. At Mastercard Identity Solutions, you'll be on the front lines of this battle-engineering real-time intelligence systems that help businesses detect and stop fraud before it happens at global scale. Our team leverages personal, behavioral, device and payment analytics, machine learning, and massive-scale data to distinguish legitimate users from bad actors in milliseconds. It's a high-stakes, high-impact mission where your code directly protects people and commerce worldwide. If you're excited by scale, complexity, and you believe in building trust into the Global ecosystem of payments that will directly impact millions of people.

Ekata, a Mastercard company within Identity Solutions, is the global standard in identity verification, providing businesses worldwide the ability to link any digital transaction to the human behind it. Our Ekata Identity Engine, the first and only of its kind, uses complex machine learning to combine features derived from the billions of transactions within our proprietary network and the data from our graph to deliver industry leading risk assessment solutions.

Job Description

Work as part of a big data engineering team
Work with cutting edge big data platforms and technologies
Build and own optimized and scalable code and algorithms
Be responsible for the performance, integration, and the automated tests of your code
Participate in and lead development tasks and projects
Cross-team collaboration
Deploy, monitor, and maintain large-scale cloud applications (AWS)
Independently analyze, propose,, plan, and develop solutions for complex technical problems and issues
Communicate closely and effectively with engineering teams and stakeholders to gather and understand requirements, share project status, and deal with unexpected issues

All about you

Computer science or related degree and five or more years of experience in software development
Experience with data storage and processing systems (ETL) and big data platforms in AWS (Databricks, Redis / Elasticache, Spark)
Experience in functional programming languages and projects (Scala, Clojure or similar)
Relevant experience in software development (Java, Python, .Net)
Experience in working with, planning, designing, and analyzing (big) data systems.
Experience in all phases of the software development life cycle: requirements gathering, design, implementation, testing, monitoring, and maintenance
Ability to write clean code that works, is readable, maintainable, and follows best practices.
A philosophy of iteration and continuous improvement

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

• 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, and
• Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.