Mastercard
Financial Services
DataEngineerII
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer II at Mastercard. Skills: Data Engineering, Automation, Process Improvement. Manage complex resolutions. Design automation solutions”
What You'll Achieve.
Achieve scale for future growth; Improve quality across division; Improve efficiency across division
Industry & Context.
Complex problem resolution; Process improvement identification
What They're Looking For.
Must Have
Working knowledge of analytics applications (Alteryx), Working knowledge of database tools (MS SQL Server, pgAdmin, Eclipse, Toad), Experience leveraging APIs for data retrieval/upload (Postman), Experience applying business process mapping, Applies knowledge of current business processes and products, Experience creating and delivering presentations, Experience working in cross-functional and large projects, Well versed with challenges in working remotely with global teams
Nice to Have
Understanding of Microsoft Power Platform ecosystem, Power Apps, Power Automate, and Dataverse
What You'll Do.
Manage complex resolutions
Design automation solutions
Develop automation solutions
Contribute to incubation of new low code applications
Manage coordination of work efforts
Manage status reporting
Manage stability of work efforts
Ensure project goals are met
Develop detailed project plans
Manage implementation processes
Communicate status to senior management
Interact with stakeholders
Consult on new products
Consult on new processes
Consult on new standards
Optimize business processes
Establish standard processes
Establish best practices
Translate customer needs into objectives
Establish plan for implementation
Coordinate plan for implementation
Communicate process issues
Communicate process updates
Assess opportunities for improvement
Recommend opportunities for improvement
How You'll Work.
Team & Collaboration
Cross-functional teams; Global teams; Senior management; Stakeholders
Communication Scope
Senior management reporting; Stakeholder communication; Presentations
Process & Methodology
Project planning, Implementation management, Schedule management, Status reporting
Full Job Description
**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 II ### Job Description Summary OVERVIEW Mastercard Services, the professional services arm of Mastercard Worldwide, provides payments-focused consulting, marketing, platforms, information, loyalty and risk management services to financial institutions, retailers and governments worldwide. The Services team is a key differentiator for Mastercard, providing the cutting-edge services that help our customers grow. Focused on thinking big and scaling fast around the globe, this agile team is responsible for end-to-end solutions for a diverse global customer base. Centered on data-driven technologies and innovation, these services include payments-focused consulting, loyalty and marketing programs, business Test & Learn experimentation, and data-driven information and risk management services. As part of the Services Data & Productivity Engineering team, the successful candidate will drive world-class operations at the core of all product development, delivery, and support. They will support a comprehensive process improvement strategy with a focus towards achieving scale for future growth by improving quality and efficiency across the Services division through the identification and development of business process automation solutions. ROLE • Manage complex resolutions, and design and develop automation solutions to complex problems • Contribute to ongoing incubation of new low code applications • Manage the overall coordinati
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