Senior Data Engineer

Mastercard Inc.; Hyderabad; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Mastercard Inc. in Hyderabad, India is seeking a Senior Data Engineer to drive data engineering solutions within enterprise data assets. You will develop secure, scalable ETL pipelines and leverage Spark, Airflow, and Databricks to enable data access and analytics across teams.

The role emphasizes automation, standards, and collaboration in a fast-paced environment, with responsibilities spanning ingestion, transformation, and production incident resolution.

Qualifications

• 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.

Responsibilities

• 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.

Skills

ETL development

Data pipeline design

Spark

Airflow

Databricks

Cloud architecture

Data quality

Troubleshooting

Tools

DMExpress

Job description

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.

Everyone wants easier ways to pay; we invent them. Checkout lines are slow; we speed them along. Merchants want more sales; we give them data and insights. People need financial access; we connect them. Corporate purchasing is complicated; we make it simple. Commuters are busy; we speed them on their way. Governments need greater efficiencies; we help create them. Small businesses are virtual; we give them access to a world of buyers. Retailers want to fight fraud; we provide the tools.