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
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
We are looking for a Data Engineer to join our growing SME Data Team. This role is ideal for someone with solid experience in data engineering who is eager to expand their skills across modern big data tools and cloud platforms. You'll work with a team of talented engineers to build scalable data pipelines, contribute to platform modernization and support business-critical data solutions that span on-prem Hadoop and Databricks Cloud environments.
This is a hands-on engineering role with opportunities to collaborate, learn, and grow in a technically rich environment.
Role
As a Data Engineer II, you will:
Build, maintain and optimize batch and streaming data pipelines using Spark (PySpark/Scala).
Contribute to the migration and modernization of on-prem Hadoop workloads to Databricks Cloud.
Develop and support ETL/ELT processes leveraging Hive, Impala, HDFS and Airflow.
Implement data ingestion, transformation and quality checks using tools like Delta Lake, SQL Warehouses, and DLT.
Collaborate with senior engineers and leads to design data solutions that are scalable and maintainable.
Work with Git-based version control and CI/CD processes using Jenkins.
Support troubleshooting, performance tuning, and documentation of data workflows and systems.
All About You
The ideal candidate for this position should have:
Strong coding skills in Python or Scala and a solid understanding of distributed data processing.
Hands-on experience with data engineering in Spark and Hadoop ecosystems (HDFS, Hive, Impala).
Working knowledge of Airflow or similar orchestration tools.
Exposure to cloud platforms (preferably Databricks on AWS) including S3, Delta Tables and DLT.
Familiarity with SQL performance tuning and large-scale data processing techniques.
Experience with Git and Jenkins for version control and CI/CD workflows.
Nice to have:
Exposure to Databricks SQL Warehouses and Unity Catalog.
Experience in data quality, validation or testing frameworks.
Understanding of data governance, lineage, or security practices in enterprise environments.
Corporate Security Responsibility
Every person working for, or on behalf of, Mastercard is responsible for information security. All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and therefore, it is expected that the successful candidate for this position 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.
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.
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