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

Mastercard is hiring a Data Engineer II (Data Warehouse, Big Data, Spark with Scala/Python/Java on Hadoop, Oracle/SQL) in Pune, India. Level rates it ; you can apply on Level.

Level's read on this job

On Level's scale, this data engineer role is Little AI ●○○○: aI is not part of the work.
Level classes it as a mid-level role.
Mastercard has 1,100+ other open roles on Level.
This posting went up in the last few days.

AI in this role

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 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

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.

How we rate this

Data Engineer II (Data Warehouse, Big Data, Spark with Scala/Python/Java on Hadoop, Oracle/SQL) at Mastercard rates 34 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

Data Engineer II (Data Warehouse, Big Data, Spark with Scala/Python/Java on Hadoop, Oracle/SQL) is an open job at Mastercard.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in Pune, India.
The job was posted on October 19, 2026.
Seniority: mid.
Applications are handled by Mastercard. Apply on Mastercard