Data Engineer

Data Engineer I

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 IWho 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

Are you a skilled Data Engineer with a passion for building robust data & analytics products/solutions and driving impact? As Data Engineer II, you will spearhead the creation of a reliable and efficient data products & solutions, enabling the delivery of exceptional Data & Analytics Services to both internal & external customers.

Role

As the Data Engineer II for Mastercard's Data & Analytics team, you will be the driving force behind the development and execution of cutting-edge data products, solutions & frameworks. Your expertise will ensure effective democratization of Mastercard's data using well designed Data products/solutions. You will collaborate with cross-functional teams and establish data-related best practices in alignment with Mastercard standards.

Key Responsibilities:
• Design, develop, and maintain new data capabilities and infrastructure for Mastercard's Sustainable Technology Internal Data Lake.
• Create new data pipelines, data transfers, and compliance-oriented infrastructure to facilitate seamless data utilization within on-premise/cloud environments.
• Identify existing data capability and infrastructure gaps or opportunities within and across initiatives and provide subject matter expertise in support of remediation.
• Collaborate with technical teams and business stakeholders to understand data requirements and translate them into technical solutions.
• Work with large datasets, ensuring data quality, accuracy, and performance.
• Implement data transformation, integration, and validation processes to support analytics/BI and reporting needs.
• Optimize and fine-tune data pipelines for improved speed, reliability, and efficiency.
• Implement best practices for data storage, retrieval, and archival to ensure data accessibility and security.
• Troubleshoot and resolve data-related issues, collaborating with the team to identify root causes.
• Document data processes, data lineage, and technical specifications for future reference.
• Participate in code reviews, ensuring adherence to coding standards and best practices.
• Collaborate with DevOps teams to automate deployment and monitoring of data pipelines.
• Additional tasks as required.

Qualifications
• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field.
• Proven experience as a Data Engineer / Scientist or similar role.
• Deep understanding & expertise in data engineering, ETL/ELT processes, data warehousing, and data modeling.
• Strong command of data integration techniques and data quality management.
• Hands-on experience with data technologies such as Databricks, Spark, Python, SQL, Hadoop, Airflow.
• Familiarity with cloud platforms and services, such as AWS or Azure.
• Excellent analytical, problem-solving skills and ability to provide innovative data solutions.
• Exceptional interpersonal skills with proven experience in relationship building and partnering, must work well in both team/individual settings and must be able to work with a geographically dispersed team.
• Strong written and oral communication skills. Attention to detail is a must.
• Motivated self-starter with ability to excel at multi-tasking in a fast-paced environment and able to function under pressure with a high degree of initiative to drive results.
• Ability to quickly learn and implement new technologies and perform POC to explore best solutions for problem statements.
• Flexibility to work as a member of a matrix-based diverse and geographically distributed project team.


All About You
• 0.6 -1.5 years of experience in Data Engineering or Warehouse-related projects.
• Expertise in Data Engineering and Data Analysis: implementing multiple end-to-end Data Engineering or Warehouse projects in Big Data environment.
• Experience building data pipelines through Spark with Scala/Python/Java in Databricks or Hadoop environment
• Experience working with databases like MS SQL Server or Oracle, and strong SQL knowledge.
• Experience automating data flow processes in a Big Data environment using Airflow or similar tools.
• Experience working in Agile 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.

Experience Level

Mid Level