Our Purpose
We work 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. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results.
Title and Summary
Data Engineer IIRole Overview: As a Data Engineer on the Business Intelligence Team, you will play a pivotal role in leveraging data to drive strategic decisions and optimize business performance. Working closely with cross-functional teams, you will design, develop, and maintain robust analytical solutions that empower stakeholders to make informed decisions and enhance customer experience.
Key Responsibilities:
Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
Develop and maintain ETL pipelines to extract, transform, and load data from various sources into our analytics platform.
Design and implement data models, data visualizations, and dashboards to deliver actionable insights to stakeholders.
Continuously monitor and optimize the performance and scalability of analytics solutions to meet evolving business needs.
Stay abreast of industry trends and emerging technologies to drive innovation and maintain a competitive edge.
Qualifications:
Bachelor's degree in Computer Science, Engineering, Statistics, or a related field. Master's degree preferred.
3+ years of experience in data engineering, business intelligence, or analytics roles within the financial services industry.
Proficiency in SQL and experience with analytical databases (e.g., Snowflake, Redshift). Strong understanding of Snowflake specific concepts preferred.
Experience with ETL tools such as Talend, Alteryx, Matillion or similar.
Strong programming skills in languages such as Python, R, or Java.
Experience with data visualization tools such as Tableau, Power BI, or Looker.
Solid understanding of data warehousing concepts and best practices.
Proficiency in solution identification, comparison, and execution, ensuring optimal outcomes for complex challenges.
Excellent problem-solving skills and ability to work independently as well as collaboratively in a team environment.
Strong communication skills with the ability to convey complex technical concepts to non-technical stakeholders.
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.
