Principal Data Engineer
Mastercard
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
Principal 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 Global Business Solution Center (GBSC) Tech team is looking for a Principal Data Engineer to steer and implement key projects related to Big Data solutions across Mastercard’s cloud and on-prem ecosystem. The ideal candidate is highly motivated, intellectually curious, analytical with a passion for reliability, scalability and automation.
Principal Data Engineer role:
- Serve as the GBSC’s subject matter expert (SME) on Data Engineering best practices and solution design
- Charged with designing and building scalable data pipelines and data storage schemas across Mastercard’s evolving on-prem and cloud data management ecosystem
- Define and evangelize reference architectures, design patterns, and engineering standards for data ingestion, transformation, storage, and consumption.
- Stays abreast of Mastercard’s data management ecosystem (e.g. Azure Data Fabric, Cloudera, Databricks , Apache Ozone, AWS S3, etc.)
- Collaborates with stakeholders to translate data needs into scalable, ingestible data storage & schema solutions
- Ensure data solutions align with enterprise governance, security, privacy, and compliance standards by design
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