Senior Data Engineer

Our Purpose

We strive to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. By utilizing secure data and networks, partnerships and passion, our innovations and solutions aid individuals, financial institutions, governments and businesses to realize their maximum potential. Our decency quotient, or DQ, drives our culture and everything we do within and outside our company. We foster a for all employees that respects their individual strengths, viewpoints, and experiences. We believe that our differences empower us to be a superior team – one that makes superior decisions, propels innovation and delivers superior business results.

Title and Summary

Senior Data Engineer 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. By using secure data and networks, partnerships and passion, our innovations and solutions aid individuals, financial institutions, governments, and businesses to realize their maximum potential. Our decency quotient, or DQ, directs our culture and everything we do within and outside our company. With ties across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview: The Enterprise Data Solutions team is hiring a Big Data Engineer to propel our mission to unlock the potential of data assets by constantly innovating, removing friction in how users retrieve data from its Big Data repositories and enforce standards and principles in the Big Data space. The candidate will be part of a dynamic, fast paced environment developing Data Engineering solutions in the data and analytics field. Role: • Develop high quality, secure and scalable data pipelines using spark, Scala/ Python on Hadoop or object storage. • Adopt new technologies and methodologies to innovate with increasingly large data sets. • Promote automation and efficiency in Data ingestion, data movement and data access workflows through innovation and collaboration. • Understand, implement and enforce Software development standards and engineering principles in the Big Data space. • Contribute ideas to help maintain required standards and processes in place and actively seek opportunities to enhance standards and improve process efficiency. • Execute assigned tasks and production incident independently. All About You: • 6+ years of experience in Data Warehouse related projects in product or service-based organization • Expertise in Data Engineering and undertaking multiple end-to-end DW projects in Big Data environment • Experience of building data pipelines through Spark with Scala/Python/Java on Hadoop or Object storage • Experience of building Nifi pipelines - Preferred • Experience of working with Databases like Oracle, Netezza and have strong SQL knowledge • Strong analytical skills required for debugging production issues, providing root cause and implementing mitigation plan • Strong communication skills - both verbal and written • Ability to manage multiple projects, interface with external / internal resources • Ability to be high-energy, detail-oriented, proactive and capable to function under pressure in an autonomous environment along with a high degree of initiative and self-motivation to drive results • Ability to quickly learn and implement new technologies, and perform POC to explore best solution for the problem statement • Flexibility to work as a member of a matrix-based diverse and geographically distributed project teams Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks come 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.