Senior Analyst , Data Engineer

Our PurposeWe 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 SummarySenior Analyst , Data EngineerOverviewMasterCard Advisors is helping to shape the future of data insights by leveraging billions of anonymised, aggregated transactions in a 10 petabyte date warehouse to help financial institutions, merchants, media, and governments manage their businesses more effectively.Advanced Analytics is charged with servicing clients by centralizing and optimizing the world class analytical, modelling, software coding, data sourcing, product development, product management, econometrics, and associated delivery capabilities of the MasterCard Advisors organization.Use broad Banking, Retail, Travel, Technology, Digital, media, and/or payments industry experience and deep knowledge of the application of big data quantitative analytics to provide hands-on support for information product development and custom analytical project delivery that satisfies and retains a global client base.The Mastercard Economics Institute’s mission is to drive macroeconomic thought leadership in support of Mastercard’s efforts to build a more inclusive andsustainable digital economy. The Economics Institute was launched in 2020 to analyze macroeconomic trends through the lens of the consumer to deliver tailored and actionable insights on economic issues for key customers, partners and policymakers. In addition to global and regional macro-economic trends, the institute also produces thematic research covering consumer spending, risk, small business, policy, digital and travel. The institute constitutes a team of economists and data scientists that utilize & synthesize data sets both from within Mastercard and beyond to bring powerful insights to life The institute delivers tailored 1:1 presentations, participates in key industry forums, and contributes to global thought leadership via thematic papers, organizing events and participating in mediaRoleWe Are Looking For a Full-stack Back-end Data Engineer With Minimum 5 To 6 Years Of Work Experience To Join Mastercard’s Economics Institute; Reporting To The Team Lead For Quantitative Economics And MEI Data Management. An Individual Who Will play a pivotal role in shaping the economics institute engineering discipline; contributing to the overall success and value of the teams products, reports, and outputs Strong proficiency in big Data Architecture & technologies such as Hadoop, Spark, Kafka, Hive, HBase,Python & R etc. Solid understanding of data processing and storage concepts Ability to design scalable and efficient data architectures Own continuous integration / continuous deployment of automated pipelines Design and deploy client-side and server-side architecture Attention to design, detail, and user experience Nice to haves: familiarity with low level languages, ci/cd pipelines, advanced R, and Quarto languages (R, Python, Julia,Observable.js)All About YouDesign data models that define the structure, relationships, and constraints of data entities Define data integration - how data from different sources and systems will be integrated and transformed to ensure consistency and quality. Collaborate with stakeholders to develop a data strategy aligned with business goals and needs. Establish data governance policies, standards, and guidelines to ensure data quality, security, and compliance. Design data systems that can scale to handle growing volumes of data while maintaining performance Manage metadata (data about data) to provide context and understanding of data sources, definitions, and lineage. excellent at managing multiple projects and tight timelines proven record of creativity, innovation, and unorthodox thinking comfortable working with engineers, product owners, data scientists, economists comfortable working in a fast paced and fluid environment, staying calm under pressureCorporate 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, andComplete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.