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 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.

Overview The Enterprise Data Solutions team is looking for a Big Data Engineer to drive our mission to unlock the potential of data assets by consistently innovating, eliminating friction in how users access data from its Big Data repositories, and enforcing 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 recent technologies and approaches to innovate with increasingly large data sets.




- Drive automation and efficiency in data ingestion, data movement, and data access workflows through 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 organizations.
- Expertise in Data Engineering and implementing multiple end-to-end DW projects in a Big Data environment.
- Experience in building data pipelines through Spark with Scala/Python/Java on Hadoop or Object storage.
- Experience working with databases like Oracle, Netezza, and having strong SQL knowledge.
- Experience of working on Nifi will be an added advantage.
- Strong analytical skills required for debugging production issues, providing root cause analysis, and implementing mitigation plans.
- 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 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 training in accordance with Mastercard's guidelines.

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Locations - Location: Pune, India, 411006

📌 Data Engineer II (Data Warehouse, Big Data, Spark with Scala/Python/Java on Hadoop, Oracle/SQL) (India)
🏢 Master Card
📍 India