Data Engineer II

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 II

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 Data & Services (D&S) Technology team is looking for a Data Engineer II to drive our customer experience strategy forward by consistently innovating and problem-solving. The ideal candidate is passionate about the customer experience journey, highly motivated, intellectually curious, analytical, and possesses an entrepreneurial mindset

Data Engineer II, Technical Implementation

Technical Implementation is part of the Mastercard Data & Services (D&S) Technology group and one of its fastest-growing organizations. D&S provides cloud-based analytic software platforms that enable large, consumer-focused businesses to seize Big Data analytics opportunities by triangulating between business strategy, algorithmic math, and large databases to improve decisions.

100 of the largest corporations in the world use these products. Test & Learn™ for Sites, Test & Learn™ for Customers, Mastercard Intelligence Center, and other similar products employ patented algorithms and workflow to design business experiences and interpret real-world data that evaluate, target, and refine business programs.

Technical Implementation is a core component to these services, managing the data acquisition, integration, and transformation of client provided data within the Test & Learn and other platforms for global engagements.

Role

The Data Engineer II will participate on data management aspects of client engagements to deliver Test & Learn and other D&S delivery solutions, as well as contribute to and foster a high-performance collaborative workplace. A Data Engineer II will:

- Independently execute projects through design, implementation, automation, and maintenance of large-scale enterprise ETL processes for a global client base
- Develop repeatable and scalable code that processes client data in an automated and efficient manner to ensure data availability in the platform is as real-time as possible.
- Act as an expert data resource within the team
- Manage the process of data delivery on teams by overseeing other Data Engineers and Analysts to deliver on-time, accurate, high-value, robust data solutions across multiple clients, solutions, and industry sectors
- Build trust-based working relationships with peers and clients across local and global teams
- Implement best practices and collaborate in the design of effective streamlined processes for a complex global solutions group
- Leverage industry best practices including proper use of source control, code reviews, data validation and testing
- Leverage new SQL Server features such as Columnstore Indexes, In-Memory OLTP, Incremental statistics, Trace Flags, SQL CLR functions, window aggregate functions, and parallel computing algorithms to reduce the processing time of multi-billion row data sets
- Contribute to the automation capabilities of the team. Implement techniques to optimize and routinize repeatable tasks for Test & Learn data setup
- Comply with and uphold all Mastercard internal policies and external regulations

All about you:

- Excellent English quantitative, technical, and communication (oral/written) skills