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

Lead 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. 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
The Enterprise Data Solutions team is looking for a Big Data Engineer to drive our mission to unlock potential of data assets by consistently innovating, eliminating friction in how users access data from its Big Data repositories and enforce standards and principles in the Big Data space. The candidate will be part of an exciting, fast paced environment developing Data Engineering solutions in the data and analytics domain.


Role
• Develop high quality, secure and scalable data pipelines using spark, Scala/ python on Hadoop or object storage.
• Leverage new technologies and approaches to innovate with increasingly large data sets.
• Drive automation and efficiency in Data ingestion, data movement and data access workflows by innovation and collaboration.
• Understand, implement and enforce Software development standards and engineering principles in the Big Data space.
• Work closely with business stakeholders and embedded engeering teams within business teams in a collaborative manner to help them build scalable products in quick time.
• Contribute ideas to help ensure that required standards and processes are in place and actively look for opportunities to enhance standards and improve process efficiency.
• Perform assigned tasks and production incident independently.


All About You
• 10+ years of experience in Data Warehouse related projects and implementing 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
• Experience of working with Databases like Oracle, Netezza would be added advantage
• Strong analytical skills required for debugging production issues, providing root cause and implementing mitigation plan
• Strong communication skills - both verbal and written – and strong relationship, collaboration skills and organizational skills
• Ability to multi-task across multiple projects, interface with external / internal resources and provide technical leadership to junior team members
• Ability to be high-energy, detail-oriented, proactive and able to function under pressure in an independent 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 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.