Senior Data Engineer (Python or Scala, Spark, Hadoop, Databricks/AWS)

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 Data Engineer (Python or Scala, Spark, Hadoop, Databricks/AWS)
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.
Data Analytics and AI Solutions (DAAI) Program:
Within the D&S Technology Team, the DAAI program is a relatively new program that is comprised of a rich set of products that provide accurate perspectives on 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 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 (think prediction as a service, matching as a service or forecasting as a service) 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.
Ad Insights 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.
Ideal Candidate Qualifications:
5-8 years of overall career experience in engineering primarily in Data Engineering in an agile production environment
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.
Motivation, creativity, self-direction, and desire to thrive on small project teams
Superior academic record with a degree in Computer Science or related technical field
Position Responsibilities:
As a Data Engineer within DAAI, you will:
Play a large role in the implementation of complex features
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.
Push the boundaries of analytics and powerful, scalable applications
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.
Drive innovative improvements to team development processes
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
Collaborate across teams with exceptional peers who are passionate about what they do
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.