Senior Data Engineer-1 at Mastercard in Pune, Maharashtra, India

Senior Data Engineer-1 Location: Pune, India 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-1 Senior Data Engineer, DPO Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview T&L Data Delivery team is part of MasterCard Services group and one of the most rapidly growing organization in the space. Services Technology Team provides analytic software tools that enable large, consumer-focused businesses to seize the Big Data analytics opportunity by triangulating between business strategy, algorithmic math, and large databases to improve decisions. Role The Senior Data Engineer will participate on data management aspects of client engagements to deliver Test & Learn solutions and other Services products, as well as contribute to and foster a high performance collaborative workplace. Data Engineer II will: • Support the design, implementation, and maintenance of enterprise ETL processes for data platforms, for a global client base. • Assist in the data delivery process, working alongside Data Engineers and Analysts to support on-time, accurate, high-value, and robust data solutions across multiple clients and industry sectors. • Use SQL and other database technologies to optimize data processing. Develop scalable and efficient code to reduce the time required to handle large data sets. • Learn and apply industry best practices, including version control, code reviews, and data validation, to ensure quality in data processes. • Participate in efforts to design streamlined processes to automate routine data tasks. • Build trust-based working relationships with peers and clients across local and global teams. Collaborate with senior and peer engineers on multiple projects in parallel. • Comply and uphold all MasterCard internal policies and external regulations All About You: • BE/BTech in a quantitative field (e.g., Computer Science, Statistics, Econometrics, Engineering, Mathematics, Operations Research). ME/MTech preferred • Excellent English quantitative, technical, and communication (oral/written) skills; is an excellent listener • Experience as a Data Engineer or in a similar role, with a strong understanding of data engineering concepts and methodologies, including data modeling and database design to support scalable data solutions. • Strong knowledge of writing and optimizing SQL queries to retrieve, manipulate, and analyze data efficiently. • Experience with Relational Databases (RDBMS), with strong hands-on expertise in Microsoft SQL Server and related technologies. • Familiarity with ETL frameworks and the ability to design, implement, and maintain data pipelines. • Experience with Databricks and Spark is a plus. • Demonstrate curiosity about emerging developer productivity tools (e.g., GitHub Copilot); prior experience is not required, but a willingness to learn and experiment is highly valued. • Demonstrate skills in the ability to innovate, think critically and disaggregate problems. • Able to handle tasks on multiple projects and differing project priorities • 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. • Flexible to work with global offices across several time zones Corporate Security Responsibility 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.