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    Lead Data Architect - Pune, India - Mastercard

    Mastercard
    Mastercard Pune, India

    1 week ago

    Mastercard background
    Accounting / Finance
    Description

    Lead Software Engineer - Python/Scala, Spark and hadoop

    Experience Needed- 12+ Years

    Overview

    As a Lead Software Development Engineer in the Mastercard Data & Services Technologies team, you will play a valuable role within a successful and rapidly growing business unit, working closely with experienced and motivated engineers to solve challenging problems. As a member of the Mastercard D&S Technical Foundations Team, you will bring your technical knowledge and full stack development experience to help build, deploy, and scale our data pipeline to support the needs of many analytical products in our ecosystem. The Technical foundations team builds scalable, easy-to-use services and frameworks that provide the foundation for many of Mastercard's customer-facing applications. We work closely with market-facing product engineering teams to help them take maximum advantage of these capabilities and to evolve our platform to meet their needs and the needs of our customers. We are looking for a Software Engineering Manager who is excited to engage deeply with our core technologies, design and implement a highly scalable data pipeline using modern and big-data focused scale-out technologies (distributed storage, scale-out compute, elastic resources in the cloud).

    Our engineers work in small, flexible teams. Every team member contributes to feature design, building, and testing. There are no rigid organizational structures at Mastercard; each team uses processes that work the best for that team's members and projects.

    Position Responsibilities

    Implement scalable and efficient data architectures using technologies like Hadoop, Impala, Hive, Spark on-premises.

    Evaluate and recommend new technologies and approaches to improve the performance, scalability, and reliability of our software systems

    Build out a data pipeline and compute tier that operates on Hadoop and Impala/Spark

    Critically review the code and guide the team with a focus on improving the code quality

    Lead large scale projects from inception to release

    Provides strategic leadership related to engineering process, specific applications and systems, or software-development methodologies

    Serve as a technical resource for team members and mentor junior engineers

    Collaborate with partners teams across broader Mastercard (Software Delivery, Corporate Security, Privacy and Data Protection, Global Product Management) to deliver high-quality solutions that meet business requirements

    Ensure that code is well-designed, maintainable, and adheres to best practices and standards

    Play a key role in shaping the direction of engineering practices through working on a scrum-size team empowered to organize and run the team as they see fit

    Additional Tasks As Required

    All About you:

    Experience in full stack software development with a focus on data-driven applications

    Experience with scale-out technologies like Hadoop, Impala, Hive and Spark on-premise

    Strong understanding of database technologies, proficiency with SQL

    Experience working with .NET and C# technologies

    Background in big data with hands-on experience with Impala or Spark development

    Strong knowledge of the architecture and internals of technologies in the Hadoop ecosystem is a plus

    Experience with data modeling and data architecture design

    Proficiency with advanced object-oriented programming

    Excellent problem-solving and analytical skills

    Excellent written and oral communications skills

    Ability to mentor and lead junior team members

    Bachelor's degree in Computer Science, Computer Engineering, Software Engineering or a related field

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