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.
Data Engineer
Overview
We are looking for an enthusiastic and adaptable Data Engineer to join our Data Engineering Team. You will be responsible for developing and managing Data Pipelines and assisting various data-driven requests across the company. The position involves a wide variety of technical skills, from developing high throughput Spark jobs to tuning performance of Big Data solutions. The ideal candidate will have experience working with large-scale data and building automated data ETL processes. Data warehousing experience would be ideal.
Key responsibilities include:
• Build and maintain big data technologies, environments, and applications, seeking opportunities for improvements and efficiencies
• Performing ETL (Extract, Transform, Load) processes based on business requirements using Apache Spark and data ingestion from Apache Kafka
• Work with various data platforms including Apache Hadoop, Apache Ozone, AWS S3, Delta Lake, Apache Iceberg
• Utilizing orchestration tools like Apache NiFi for managing and scheduling data flows efficiently
• Writes performant SQL statement to analyze data with Hive/Impala/Oracle
• Full application development lifecycle (SDLC) from design to deployment
• Working with multiple stakeholders across teams to fulfill ad-hoc investigations, including large-scale data extraction, transformation, and analyses
About You
• Excellent problem-solving skills with good understanding of data engineering concepts
• Proficient in Apache Spark with Python and related technologies
• Strong knowledge of SQL and performance tuning
• Experience in Big Data technologies like Hadoop and Oracle Exadata
• Solid knowledge of Linux environments and proficiency with bash scripting
• Effective verbal and written communication skills
Nice to have knowledge or prior experience with any of the following
• Apache Kafka, Apache Spark with Scala
• Orchestration with Apache Nifi, Apache Airflow
• Java development and microservices architecture
• Build tools like Jenkins
• Log analysis and monitoring using Splunk
• Databricks, AWS
• Working with large data sets with terabytes of data
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.

NOTE: Candidates go through a thorough screening and interview process. There is no need to include all preferred skills in the job description.

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.