Data Engineer II (Data Warehouse, Big Data, Spark with Scala/Python/Java on Hadoop, Oracle/SQL)

Title and Summary Data Engineer II (Data Warehouse, Big Data, Spark with Scala/Python/Java on Hadoop, Oracle/SQL) 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.

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. • 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 support production incidents. All About You • 3-5 years of overall career experience in Data Warehouse related projects in product or service-based organization • Expertise in Data Engineering 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 working with Databases like Oracle, Netezza and have strong SQL knowledge • Experience of working on Nifi will be an added advantage • Strong analytical skills required for debugging production issues, providing root cause and implementing mitigation plan • Strong communication skills - both verbal and written • 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 • Flexibility to work as a member of a matrix based diverse and geographically distributed project teams Corporate Security Responsibility

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. • 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 support production incidents. All About You • 3-5 years of overall career experience in Data Warehouse related projects in product or service-based organization • Expertise in Data Engineering 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 working with Databases like Oracle, Netezza and have strong SQL knowledge • Experience of working on Nifi will be an added advantage • Strong analytical skills required for debugging production issues, providing root cause and implementing mitigation plan • Strong communication skills - both verbal and written • 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 • Flexibility to work as a member of a matrix based diverse and geographically distributed project teams