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.
Data Engineer II
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
- Enhance big data pipelines using SQL, SSIS, Powershell and related technologies to address complex technical challenges and seamless communication with several cloud storage technologies
- 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
Minimum job requirements:
- Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Econometrics, Engineering, Mathematics, Operations Research). Master's degree preferred
- Excellent English quantitative, technical, and communication (oral/written) skills; is an excellent listener
- Expertise and hands-on experience with RDBMS technologies, preferably with Microsoft SQL Server, the SSIS Stack and .Net
- Proficiency with at least one scripting language (Powershell, Python)
- Proven self-motivated leader with experience working in multiple teams spread across several geographies
- Demonstrated excellent skills in the ability to innovate, think critically and disaggregate problems. Able to provide oversight, validation and quality control to own and team work product
- Skilled at balancing multiple projects and differing project priorities
- Flexible to work with global offices across several time zones
Fields of educational study:
Computer Science, Statistics, Econometrics, Engineering, Mathematics, Operations Research
Due to COVID-19, most of our employees are working from home. We’ve implemented a virtual hiring process and continue to interview candidates by phone or video and are onboarding new hires remotely. We value the safety of each member of our community because we know we’re all in this together.
Mastercard is an inclusive Equal Employment 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.
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