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 (RF#54)
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 RiskRecon team is looking for a Senior Data Engineer to collaborate with various teams in designing, developing, and delivering performant and robust data solutions with a high level of innovation as well as integrations in support of Mastercard and its customers. The challenge is to improve existing and build out new systems and intuitive workflows that allow users to derive insights from industry relevant data models.
Role
Must have proven experience with PostgreSQL, MongoDB, DocumentDB, and their associated query languages (SQL, MQL, etc.), as well as AWS data-related tooling such as Amazon Glue, Redshift, and EventBridge.
Knowledge and understanding of ETL processes and tooling, with required proficiency in the Python programming language and experience with big data systems (Spark, Hadoop, etc.) as a plus.
Ensure tasks get executed on time and to required standards, improve existing and build new data solutions and systems, and pass on knowledge of various technologies to other team members and functions.
Collaborate with software engineers, product teams, Data Engineers, and Analysts to tackle complex data challenges, deliver accurate and impactful data solutions, and enhance and automate data pipelines for a global client base.
Manage, optimize, and ensure the performance and reliability of data pipelines on SQL Server databases, design and implement high-performance data features, and write clean, efficient, and well-documented code adhering to industry best practices.
Regularly participate in reviews, promote a culture of high standards and continuous improvement, develop scalable and efficient code for timely, accessible, and high-quality data, and follow industry best practices for version control, code reviews, and data validation.
Build strong, supportive relationships with clients and team members, contribute to both local and global initiatives, optimize data processing with SQL and other database technologies, and mentor and empower team members while ensuring adherence to internal policies and external regulations.
All About You
Strong experience in Data Engineering or a similar role, with a solid understanding of data engineering concepts, methodologies, data modeling, and database design to support scalable data solutions.
Expertise in writing, optimizing, and analyzing SQL queries for efficient data retrieval, manipulation, and analysis, with strong knowledge of Relational Databases (RDBMS) and hands-on experience in Microsoft SQL Server.
Skilled in designing, implementing, and maintaining ETL frameworks and data pipelines, with the ability to analyze and troubleshoot data issues and provide solutions with minimal supervision.
Ability to balance multiple projects, prioritize effectively, and adapt to changing demands in dynamic environments while ensuring accuracy and consistency in data pipelines through testing and validation.
Excellent communication skills, with the ability to articulate complex technical concepts clearly and concisely to both technical and non-technical stakeholders.
Familiarity with ETL frameworks and experience designing, implementing, and maintaining scalable data solutions, along with basic knowledge of testing and validating data for accuracy.
Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience.
#LI-FT1
Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
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.
