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Senior Data Engineer

Hyderabad, Andhra Pradesh, India

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Employment
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Apply at Mastercard

Tools in this posting

  • Spark
  • Databricks
Source — Tool mentions in context
Role • Develop high quality, secure and scalable data pipelines using tools like DMExpress. • 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 around ETL. • 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 • 6+ years of experience in Data Warehouse related projects in product or service-based organization • Experience with Cloud tech stack, Big Data, Databricks • Extensive experience with Spark, Airflow • Strong analytical skills required for debugging production issues, providing root cause and implementing mitigation plan • Strong communication skills - both verbal and written • Ability to multi-task across multiple projects, interface with external / internal resources • 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

Job description

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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

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. 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 ETL developer to drive our mission to unlock potential of data assets by consistently innovating, eliminating friction in how users access data from data warehouse and enforce standards and principles around data. 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 tools like DMExpress.
• 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 around ETL.
• 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
• 6+ years of experience in Data Warehouse related projects in product or service-based organization
• Experience with Cloud tech stack, Big Data, Databricks
• Extensive experience with Spark, Airflow
• Strong analytical skills required for debugging production issues, providing root cause and implementing mitigation plan
• Strong communication skills - both verbal and written
• Ability to multi-task across multiple projects, interface with external / internal resources
• 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.




Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the salary range before committing time to the process.

Complete your application on mastercard.wd1.myworkdayjobs.com. The employer’s form will show what is required.

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Source & posting history

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Pay

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Location & working pattern

Hyderabad, Andhra Pradesh, India

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Status in our records
Active
First seen by us
Oct 6, 2026
Recorded sightings
11
Last seen by us
Oct 9, 2026

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