Lead Data Engineer

Job Title:

Lead Data Engineer

Overview:

Overview
We are the global technology company behind the world's fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities.
Our team within Mastercard – Services:
The Services org is a key differentiator for Mastercard, providing the cutting-edge services that are used by some of the world's largest organizations to make multi-million-dollar decisions and grow their businesses. Focused on thinking big and scaling fast around the globe, this agile team is responsible for end-to-end solutions for a diverse global customer base. Centered on data-driven technologies and innovation, these services include payments-focused consulting, loyalty and marketing programs, business Test & Learn experimentation, and data-driven information and risk management services.

Advanced Analytics Program:
Within the Services Technology Team, the Advanced Analytics program is a relatively new program that is comprised of a rich set of products that provide accurate perspectives on Credit Risk, Portfolio Optimization, and Ad Insights. Currently, we are enhancing our customer experience with new user interfaces, moving to API and web application-based data publishing to allow for seamless integration in other Mastercard products and externally, utilizing new data sets and algorithms to further analytic capabilities, and generating scalable big data processes.

We are looking for an innovative lead data engineer who will lead the technical design and development of an Analytic Foundation. The Analytic Foundation is a suite of individually commercialized analytical capabilities that also includes a comprehensive data platform. These services will be offered through a series of APIs that deliver data and insights from various points along a central data store. This individual will partner closely with other areas of the business to build and enhance solutions that drive value for our customers.
Engineers work in small, flexible teams. Every team member contributes to designing, building, and testing features. The range of work you will encounter varies from building intuitive, responsive UIs to designing backend data models, architecting data flows, and beyond. There are no rigid organizational structures, and each team uses processes that work best for its members and projects.
Here are a few examples of products in our space:

• Portfolio Optimizer (PO) is a solution that leverages Mastercard's data assets and analytics to allow issuers to identify and increase revenue opportunities within their credit and debit portfolios.

• Audiences uses anonymized and aggregated transaction insights to offer targeting segments that have high likelihood to make purchases within a category to allow for more effective campaign planning and activation.

• Credit Risk products are a new suite of APIs and tooling to provide lenders real-time access to KPIs and insights serving thousands of clients to make smarter risk decisions using Mastercard data.
Help found a new, fast-growing engineering team

Position Responsibilities:
As a Lead Data Engineer within Advanced Analytics team, you will:

• Lead collaboration with data scientists to understand the existing modeling pipeline and identify optimization opportunities.

• Oversee the integration and management of data from various sources and storage systems, establishing processes and pipelines to produce cohesive datasets for analysis and modeling.

• Partner with Product Managers and Customer Experience Designers to develop a deep understanding of users and use cases and apply that knowledge to scoping and building new modules and features

• Design and develop data pipelines to automate repetitive tasks within data science and data engineering.

• Demonstrated experience leading cross-functional teams or working across different teams to solve complex problems.

• Identify patterns and innovative solutions in existing spaces, consistently seeking opportunities to simplify, automate tasks, and build reusable components for multiple use cases and teams.

• Create data products that are well-modeled, thoroughly documented, and easy to understand and maintain.

• Comfortable leading projects in environments with undefined or ambiguous requirements.

• Mentor junior data engineers

Ideal Candidate Qualifications:

• High proficiency in using Python or Scala, Spark, Hadoop platforms & tools (Hive, Impala, Oozie, Airflow, NiFi, Scoop), SQL to build Big Data products & platforms

• Extensive experience with Spark Processing engine.

• Proficiency in, at least, one modern programming language such as Python, Java or Scala

• Strong Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem solving, and complexity analysis.

• Ability to easily move between business, data management, and technical teams; ability to quickly intuit the business use case and identify technical solutions to enable it

• Working Knowledge in Software Development engineering Paradigms along with Data Engineering.

• Relational Databases as well as NoSQL experience

• Experience in cloud technologies like Databricks/AWS/Azure

• Basic Shell scripting and knowledge of Linux/Unix systems

• Experience in designing & developing software at scale

• Strong written and verbal English communication skills.To find US Salary Ranges, visit People Place. Under the Compensation tab, select "Salary Structures." Within the text of "Salary Structures," click on the link "salary structures 2025," through which you will be able to access the salary ranges for each Mastercard job family. For more information regarding US benefits, visit People Place and review the Benefits tab and the Time Off & Leave tab.

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