Senior Analyst - Data Engineer at Mastercard

Short Description:

Join Mastercard's Economics Institute as a Senior Analyst, Data Engineer, contributing to shaping the future of data insights. Leverage extensive industry experience in big data analytics, working with a team focused on providing tailored economic insights globally. Design and implement scalable data architectures, collaborate on data strategy, and ensure data quality, security, and compliance. Ideal candidates have 5-6 years of experience, proficiency in technologies like Hadoop and Spark, and excel in a fast-paced, innovative environment.

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Position: Senior Analyst, Data Engineer

Location: Gurgaon, India, 122002

Category: Analytics

Job Type: Full time

Job Id: R-207993

Our Mission

We strive to foster an inclusive digital economy that benefits everyone globally by ensuring secure, straightforward, intelligent, and accessible transactions. Through the use of secure data, collaborative partnerships, and unwavering passion, our innovations and solutions empower individuals, financial institutions, governments, and businesses to realize their full potential. At the core of our culture is our decency quotient (DQ), which influences everything we do, fostering a culture of inclusion that values the unique strengths, perspectives, and experiences of each employee. We believe that our diversity enhances our ability to work as a cohesive team, making better decisions, driving innovation, and achieving superior business outcomes.

Position Overview

MasterCard Advisors is at the forefront of shaping the future of data insights, harnessing billions of anonymized, aggregated transactions in a 10 petabyte data warehouse. Our goal is to assist financial institutions, merchants, media, and governments in effectively managing their operations. The Advanced Analytics team is dedicated to centralizing and optimizing the analytical, modeling, software coding, data sourcing, product development, product management, econometrics, and associated delivery capabilities of the MasterCard Advisors organization.

Utilize extensive experience in the Banking, Retail, Travel, Technology, Digital, media, and/or payments industry, along with profound knowledge of applying big data quantitative analytics. Provide hands-on support for information product development and customized analytical project delivery to meet the needs of a global client base.

The Mastercard Economics Institute, established in 2020, aims to lead macroeconomic thought and support Mastercard's initiatives to build a more inclusive and sustainable digital economy. The institute analyzes macroeconomic trends through the consumer lens, delivering tailored and actionable insights on economic issues for key customers, partners, and policymakers.

Role

We seek a full-stack back-end data engineer with a minimum of 5 to 6 years of experience to join Mastercard's Economics Institute. Reporting to the team lead for quantitative economics and MEI data management, you will:

• Play a crucial role in shaping the economics institute engineering discipline, contributing to the overall success and value of the team's products, reports, and outputs.
• Demonstrate strong proficiency in big Data Architecture & technologies such as Hadoop, Spark, Kafka, Hive, HBase, Python & R.
• Possess a solid understanding of data processing and storage concepts.
• Design scalable and efficient data architectures.
• Manage continuous integration/continuous deployment of automated pipelines.
• Design and deploy client-side and server-side architecture.
• Pay attention to design, detail, and user experience.
• Nice to have's: familiarity with low-level languages, CI/CD pipelines, advanced R, and Quarto languages (R, Python, Julia, Observable.js).

All About You

• Design data models that define the structure, relationships, and constraints of data entities.
• Define data integration, determining how data from various 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 capable of scaling 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.
• Excel at managing multiple projects and tight timelines.
• Proven record of creativity, innovation, and unorthodox thinking.
• Comfortable working with engineers, product owners, data scientists, and economists.
• Comfortable working in a fast-paced and fluid environment, remaining calm under pressure.

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks come with inherent risks to the organization. Therefore, every person working for or on behalf of Mastercard is expected to:

• 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.
• Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.

Please click here to apply!