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, straightforward, 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 II

Overview: Mastercard's Services organization is seeking a Data Engineer II to contribute to the data management aspects of client engagements, delivering MIC and other innovative solutions within the Services group. In this role, you will develop robust data pipelines, implement scalable data solutions, and collaborate with cross-functional teams. Additionally, you will help foster a high-performance, collaborative workplace culture.

Engineers work in small, flexible teams. Every team member contributes to designing, building, and testing features. There are no rigid organizational structures, and each team uses processes that work best for team members and projects.

Role

- Support the design, implementation, and maintenance of enterprise ETL processes for data platforms, for a global client base.
- Develop scalable and efficient code to process data, ensuring availability and accessibility in a timely manner.
- Collaborate with senior engineers to address data challenges, contributing to solutions that maintain high data quality.
- Assist in the data delivery process, working alongside Data Engineers and Analysts to support accurate, high-value data solutions across various clients and industries.
- Build strong working relationships with team members and clients, contributing to both local and global projects.
- Learn and apply industry best practices, including version control, code reviews, and data validation, to ensure quality in data processes.




- Use SQL and other database technologies to help optimize data processing and reduce the time required to handle large data sets.
- Participate in efforts to automate routine data tasks and streamline processes.
- Comply with all Mastercard internal policies and adhere to external regulations.

All About You

- Experience as a Data Engineer or in a similar role, with a strong understanding of data engineering concepts and methodologies.
- Strong knowledge of writing and optimizing SQL queries to retrieve, manipulate, and analyze data efficiently.
- Experience with Hadoop environment, with strong hands-on expertise in SPARK and related technologies.
- Familiarity with ETL frameworks and the ability to design, implement, and maintain data pipelines.
- Understanding of data modeling concepts and database design to support scalable data solutions.
- Familiarity with at least one scripting language (e.g., PowerShell, Python).
- Ability to analyze and troubleshoot data issues and provide solutions with minimal supervision.
- Basic knowledge of testing and validating data to ensure accuracy and consistency in data pipelines.
- Excellent verbal and written communication skills, with the ability to articulate complex ideas clearly and concisely to both technical and non-technical stakeholders.
- Bachelor's degree in a quantitative discipline such as Engineering, Mathematics, Finance, Business, or a related field. Equivalent practical experience may also be considered.

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 II (Pune)
🏢 Mastercard
📍 Pune