Lead Software Engineer - Data Engineer
Pune, India
Applications have closed
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.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 Software Engineer - Data EngineerAt Mastercard, our industry expertise is enhanced by our commitment to being a force for good in the world and to doing well by doing good. Mastercard relies on our global workforce to help us achieve our goal of building a sustainable, inclusive global economy. The Mastercard Way encourages us, connects us with the behaviors that represent the essence of not only what we do but who we are as an organization. Cultivating an environment for all employees that respects their individual strengths, views and experiences drives a global and collaborative culture of inclusion and sense of belonging.The Mastercard Consolidated Billing System (MCBS) team under the financial solutions program has an exciting opportunity for a Software Development Engineer. Financial Solutions provides Mastercard and its customers with a fully automated and scalable system that delivers timely pricing and billing solutions as well as accurate stakeholder reporting. In this role you will be responsible for designing and developing billing programs to support Mastercard’s billing and enhance customers billing experience through simplification of the billing structures.
MasterCard software engineering teams leverage Agile development principles, advanced development and design practices, and an obsession over security, reliability, and performance to deliver solutions that delight our customers. We're looking for talented software development engineers to develop advanced technologies and applications that are revolutionizing payments.
- Are you passionate about software engineering?
- Do you enjoy seeing the impact your code has on a wide range of customers?
- Do you want to work for a company that offers above and beyond benefits including paid parental leave, flexible work hours, gift matching, and even volunteer incentives while encouraging your own professional learning and development?
- Do you thrive in a place where you are continuously learning more while growing your skills and career?
- Do you want to join a Company that offers a competitive benefits-and rewards program that attracts, develops and retains the most talented employees around the world?
- Do you want to join an inclusive culture where employees, in all their diversity, feel valued, respected and who can bring their authentic selves to work? Learn more at Mastercard’s Corporate Sustainability Report.
Role:
• Bachelor’s or Master’s in CS, Data Science, or a related STEM field
• Extensive Java/Scala development experience.
• Develop high quality, secure and scalable data pipelines using Spark, Java/python on Spark, Apache Nifi & object storage.
• Leverage new technologies and approaches to innovate with increasingly large data sets.
• Drive automation and efficiency in Data ingestion, data movement and data access workflows by innovation and collaboration.
• Understand, implement, and enforce Software development standards and engineering principles in the Big Data space.
• Contribute ideas to help ensure that required standards and processes are in place and actively look for opportunities to enhance standards and improve process efficiency.
• Perform assigned tasks and production incident independently.
About You:
• Expertise in Data Engineering and implementing multiple end-to-end DW projects in Big Data environment
• Experience of building data pipelines through Spark with Scala/Python/Java on Hadoop or Object storage
• Experience of building Nifi pipelines
• Strong experience with Spark Processing engine.
• Experience in Kafka and PCF (Pivotal Cloud Foundry)
• Experience analyzing data to discover opportunities and address gaps.
• Experience of working with Databases like Oracle and have strong SQL knowledge
• Strong analytical skills required for debugging production issues, providing root cause and implementing mitigation plan
• Strong communication skills - both verbal and written
• Ability to multi-task across multiple projects, interface with external / internal resources
• Ability to be high-energy, detail-oriented, proactive and able to function under pressure in an independent environment along with a high degree of initiative and self-motivation to drive results
• Ability to quickly learn and implement new technologies, and perform POC to explore best solution for the problem statement
• Flexibility to work as a member of a matrix based diverse and geographically distributed project teams
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Big Data Data pipelines Engineering Hadoop Java Kafka NiFi Oracle Pipelines Python Scala Security Spark SQL STEM
Perks/benefits: Career development Flex hours Parental leave Team events
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