Senior Data Engineer-2

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-2 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 Are you an experienced data engineer with a passion for technological innovation, have a can-do attitude and strong sense of ownership? The Small and Medium Enterprise (SME) platform is the perfect opportunity for you to assist in the design & development of a world-class unified platform, enabling Small and Medium Enterprises globally. The SME team is looking for a Senior Data Engineer to own the development of data pipelines to create a SME data mart on prem and on cloud. You will also work closely with cross-functional teams, including data scientists, data analysts, and software engineers, to drive data-driven decision making throughout the organization. Role • Independently design and implement data pipelines that are scalable, reliable, and reusable using various programming languages and frameworks such as SQL, PySpark, Impala etc. • Develop and maintain efficient ETL processes to handle large volumes of data (billion level) from different sources and store in centralized storage (data warehouse and lake house). • Collaborate with data scientists, data analysts and software engineers in scrum teams to understand their data needs and develop data solutions that enable them to access, analyze and visualize data more effectively. • Work with data architects to ensure that data infrastructure aligns with the organization’s data architecture and governance standards. Ensure data quality, security, and compliance with industry regulations. • Troubleshoot and resolve issues with data pipelines and integrations, ensuring they are running smoothly and efficiently. Monitor and optimize performance of data systems, proactively identifying and addressing bottlenecks and limitations. • Maintain documentation for data pipelines, troubleshooting logs and data processing systems. • Support the design and implementation of data models, algorithms and feature stores that serves BI reporting and machine learning models. • Mentor and support junior data engineers, providing guidance and support as needed. • Stay up to date with emerging technologies and trends in the data engineering space, recommend their adoption as appropriate. All About You • Demonstrated ability to independently design and implement data pipelines in large-scale data systems and distributed computing framework following best coding practice. • Extensive hands-on experience with SQL and SPARK. • Experience with big data tools / technologies. (Hadoop, NIFI, Kafka, Impala, HIVE, OOZIE, Airflow etc.) • Knowledge of cloud-based data storage an