Lead - Data Engineer - Hadoop, HDFS, Spark,
- Mastercard
- 10 to 14 Yrs
- 1 day ago
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Job Description
- As a Lead Data Engineer at Mastercard Data & Services, you will be part of the Advance Analytics Program, a rich set of products focused on Portfolio Optimization, Acquire Optimizer, Test & Learn, Credit Risk, and Ad Insights. Your role involves designing and developing AI/ML and Big Data solutions on a Paas Platform. You will lead the scoping, design, and implementation of complex features, pushing the boundaries of analytics and scalable applications. Your responsibilities will include building intuitive UIs, maintaining analytics and data models, ensuring a high-quality code base, and driving innovative improvements to team development processes. You will collaborate with Product Managers and Customer Experience Designers to understand users and use cases, applying that knowledge to build new modules and features. The ideal candidate should have 10+ years of full stack engineering experience in an agile production environment. You should be experienced in leading the design and implementation of large, complex features in full-stack applications. Proficiency in Python and/or Scala, Spark, Hadoop platforms & tools, SQL, and experience in leveraging open source tools for data analysis are essential. Additionally, you should have experience in building and deploying production-level data-driven applications, implementing machine learning systems at scale, and coaching junior teammates. Proficiency with Java/Spring Boot, .NET/C#, SQL Server, and front-end frameworks is desired. Understanding of React, Redux, Typescript, and a strong passion for analytical problem-solving are beneficial. A strong technologist with a proven track record of learning new technologies, excellent communication skills, and the ability to collaborate effectively with diverse teams will thrive in this role. A degree in Computer Science or a related technical field is preferred, along with motivation, creativity, self-direction, and a customer-centric development approach.,
Employement Category:
Employement Type: Full timeIndustry: IT Services & ConsultingRole Category: Not SpecifiedFunctional Area: Not SpecifiedRole/Responsibilies: Lead - Data Engineer - Hadoop, HDFS, Spark,Contact Details:
Company: MastercardLocation(s): Maharashtra,
Keyskills: Hadoop HDFS Spark Python Scala Hive Impala Airflow SQL Java Spring Boot NET C React Redux Typescript
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Mastercard
Who is Mastercard?Mastercard is a global technology company in the payments industry. Our mission is 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,...
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