Lead Data Engineer

Pune, India

Mastercard

Wir verbinden und fördern eine integrative, digitale Wirtschaft, von der Menschen, Unternehmen und Regierungen weltweit profitieren, indem wir Transaktionen sicher, einfach und zugänglich machen.

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Our Purpose

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.

Title and Summary

Lead Data Engineer

Lead Software Engineer (Big Data)

** Overview ** Offers team in the Loyalty group at Mastercard is at the heart of providing end consumers highly personalized card linked offers by marrying offers from our advertising network with anonymized transaction data. We are looking for a strong, innovative engineers who can bring unique perspectives and innovative ideas to all areas of development, and are interested in continuing to improve our platform through the ever changing technology landscape. In this role, you will work on multiple projects, which are critical to Mastercard’s role. An ideal candidate is someone who works well with a cohesive team-oriented group of developers, who has a passion for developing great software, who enjoys solving problems in a challenging environment, and who has the desire to take their career to the next level. If any of these opportunities excite you, we would love to talk.

**Role** Design, develop, test, deploy, maintain, and improve our software • Manage individual project priorities, deadlines, and deliverables • Ensure the final product is highly performant, responsive, and of the highest quality • Actively participate in agile ceremonies including daily scrum, story pointing, story elaboration, and retrospectives • Lead/Mentor Junior and new team members with maintaning continuos dialouge with Business/Product/Other Engineering teams.

**All about you/Experience ** A seasoned Big Data developer either with cloud or on-prem distributions • Proficiency in, at least, one modern programming language such as Java or Scala • Strong Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem solving, and complexity analysis. • Extensive experience with Spark Processing engine. • Relational Databases (e.g MySql, Postgres) as well as NoSQL experience • Good Handle on Big data tools / technologies/ Streaming (Hive, Impala, OOZIE, Airflow, NIFI, Kafka) • Basic Shell scripting and knowledge of Linux/Unix systems • Experience in designing & developing software at scale • Working Knowledge in Software Development engineering Paradigms along with Data Engineering.

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.




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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Agile Airflow Big Data Computer Science Engineering Java Kafka Linux MySQL NiFi NoSQL Oozie PostgreSQL RDBMS Scala Scrum Security Shell scripting Spark Streaming

Perks/benefits: Career development

Region: Asia/Pacific
Country: India

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