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, easy, 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

Data Engineer

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.





Enterprise and Credit Risk team is looking for a Data Engineer who will help in implementing data analytics products using on-prem and cloud data platforms.

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.

Position Responsibilities: As a Data Engineer within ECR, you will: Play a large role in the implementation of complex features

Build and maintain analytics and data models to enable performant and scalable products

Ensure a high-quality code base by writing and reviewing performant, well-tested code

Mentor junior engineers and teammates

Drive innovative improvements to team development processes

Collaborate across teams with exceptional peers who are passionate about what they do

4+ years of full stack engineering experience in an agile production environment

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





Experience leveraging open source tools, predictive analytics, machine learning, Advanced Statistics, and other data techniques to perform analyses

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

Experience in cloud technologies like Databricks/AWS/Azure

Strong technologist with proven track record of learning new technologies and frameworks

Customer-centric development approach

Passion for analytical / quantitative problem solving

Experience identifying and implementing technical improvements to development processes

Collaboration skills with experience working with people across roles and geographies

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

Strong written and verbal English communication skills

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.

📌 Data Engineer (Pune)
🏢 Mastercard
📍 Pune