Senior Data Engineer

Posted Yesterday
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Pune, Mahārāshtra, IND
Hybrid
Senior level
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
We are a global technology company in the payments industry.
The Role
Design, build, and maintain large-scale ETL pipelines and data warehouse solutions using Hadoop ecosystem technologies. Ingest, process, and analyze large datasets, monitor and resolve production job failures, and produce design and process documentation. Troubleshoot Hadoop/Hive jobs and support Cloudera administration.
Summary Generated by Built In
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
Senior Data Engineer
What is Data & Services?
The Data & Services Technology Organization 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 experimentation, and data-driven information and risk management services.
What role do we play in the modern world? Are we an enabler of purchases or a facilitator for transactions? We play a much larger role in the world by enabling those that have no access to financial systems. We have the technology, people, and Brand to serve modern society. Today, we are a global tech company that connects everyone to endless possibilities, priceless possibilities.
Job Description Summary
The Technology Foundations, Data and Transformation Solutions (DTS) team provides ETL solutions and data to BI applications, products, and services. We are looking for an experienced Big Data Developer who loves solving complex problems for a full spectrum of technologies. The person in this role will develop and implement data pipelines for sources and downstream systems.
Role• Highly capable in learning new technologies & frameworks and implementing them as per the project requirements by adhering to quality standards• Experience in all phases of data warehouse development lifecycle, from gathering requirements to testing, implementation, and support• Adept in analyzing information system needs, evaluating end-user requirements, custom designing solutions and troubleshooting information systems• Develop and implement data pipelines that extracts, transforms, and loads data into an information product that helps to inform the organization in reaching strategic goals• Technical & Analytical Skills and Problem Solving• Work on ingesting, storing, processing, and analyzing large data sets• Investigate and analyze alternative solutions to data storing, processing etc. to ensure most streamlined approaches are implemented• Monitor daily job failure alerts and resolve issues identified• Ability to write algorithms with different rules• Data warehousing principles & concepts and modification of existing data warehouse structures
All about you• Must have experience deploying and working with big data technologies like Hadoop, Spark, and Sqoop• Experience with streaming frameworks like Kafka and Axon• Experience designing and building ETL pipeline using NiFi• Highly proficient in OO programming (Python Java, and Scala)• Experience with the Hadoop Ecosystem (HDFS, Yarn, MapReduce, Spark, Hive, Impala) • Proficiency on Linux, Unix command line, Unix Shell Scripting, SQL and any Scripting language• Experience designing and implementing large, scalable distributed systems• Ability to debug production issues using standard command line tools• Create design documentation and maintain process documents• Ability to debug Hadoop / Hive job failures• Ability to use Cloudera in administering Hadoop
Corporate 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, and
  • Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.

Skills Required

  • Experience deploying and working with big data technologies like Hadoop, Spark, and Sqoop
  • Experience with streaming frameworks like Kafka and Axon
  • Experience designing and building ETL pipelines using NiFi
  • Highly proficient in object-oriented programming (Python, Java, Scala)
  • Experience with Hadoop ecosystem components (HDFS, YARN, MapReduce, Spark, Hive, Impala)
  • Proficiency with Linux, Unix command line, Unix shell scripting, and SQL
  • Experience designing and implementing large, scalable distributed systems
  • Ability to debug production issues using standard command line tools
  • Ability to debug Hadoop/Hive job failures
  • Ability to use Cloudera for administering Hadoop
  • Experience in all phases of data warehouse development lifecycle (requirements through support)
  • Monitor daily job failure alerts and resolve identified issues

What the Team is Saying

Jenny
Mastercard

Mastercard Compensation & Benefits Highlights

  • Retirement Support Company information highlights a 10% retirement match on U.S. roles, positioned as best‑in‑class and well above typical large‑employer benchmarks. This level of employer contribution materially strengthens long‑term savings.
  • Leave & Time Off Breadth U.S. postings list 25 vacation days, 5 personal days, 10 company holidays, 80 hours of paid sick/safe time, and up to 20 days of bereavement. A minimum of 16 weeks paid new‑parent leave (including adoption and foster) further expands paid time away.
  • Parental & Family Support Benefits include a minimum of 16 weeks paid new‑parent leave and family‑building support such as fertility, adoption, and surrogacy where legally available. Dependent scholarships, counseling, and protection benefits contribute additional family support.

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The Company
HQ: Purchase, NY
38,800 Employees
Year Founded: 1966

What We Do

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re building a resilient 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.

Why Work With Us

We live the Mastercard Way: creating value in the communities we touch, growing together through the opportunities we see, and moving fast to innovate and scale. Our collaborative culture and our passionate people are the key to what we do, driving meaningful change as one team and connecting everyone to priceless possibilities.

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