Lead - Data Engineer - Hadoop, HDFS, Spark,
- Mastercard
- 10 to 14 Yrs
- Other Maharashtra
- 6 months ago
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Job Description
- Job Title: Lead - Data Engineer - Hadoop, HDFS, Spark, Python; Overview: Overview Our team within Mastercard Data & Services: Advance Analytics Program: Within the D&S Technology Team, the Advance Analytics program is a program that is comprised of a rich set of products that provide accurate perspectives on Portfolio Optimization, Acquire Optimizer, Test & Learn, Credit Risk, and Ad Insights. Currently, we are enhancing our customer experience with new user interfaces, moving to API-based data publishing to allow for seamless integration in other Mastercard products and externally, utilizing new data sets and algorithms to further analytic capabilities, and generating scalable big data processes. Position Responsibilities: We are looking for an experienced and innovative Software - Data Engineering Lead to design and develop AI/ML , Big Data solutions as Paas Platform. As a Lead Data Engineer Software Engineer, you will: Lead the scoping, design and implementation of complex features Lead and push the boundaries of analytics and powerful, scalable applications Design and implement intuitive, responsive UIs that allow Customers to better understand data and analytics Build and maintain analytics and data models to enable performant and scalable products Ensure a high-quality code base by writing and reviewing performant, well-tested code Drive innovative improvements to team development processes Partner with Product Managers and Customer Experience Designers to develop a deep understanding of users and use cases and apply that knowledge to scoping and building new modules and features Collaborate across teams with exceptional peers who are passionate about what they do Ideal Candidate Qualifications: 10+ years of full stack engineering experience in an agile production environment Experience leading the design and implementation of large, complex features in full-stack applications Ability to easily move between business, data management, and technical teams; ability to quickly intuit the business use case and identify technical solutions to enable it Experience leveraging open source tools, predictive analytics, machine learning, Advanced Statistics, and other data techniques to perform analyses High proficiency in using Python and/or Scala, Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi, Scoop), SQL to build Big Data products & platforms Experience in building and deploying production-level data-driven applications and data processing workflows/pipelines and/or implementing machine learning systems at scale in Java, Scala, or Python and deliver analytics involving all phases like data ingestion, feature engineering, modeling, tuning, evaluating, monitoring, and presenting Experience coaching and mentoring junior teammates Experience leading a large technical effort that spans multiple people and teams Proficiency with Java/Spring Boot, and / or .NET/C# and SQL Server, front-end frameworks, and/or relational database technologies Good to have understanding of React, Redux, Typescript Strong technologist with proven track record of learning new technologies and frameworks Customer-centric development approach Passion for analytical / quantitative problem solving Experience identifying and implementing technical improvements to development processes Collaboration skills with experience working with people across roles and geographies Motivation, creativity, self-direction, and desire to thrive on small project teams Superior academic record with a degree in Computer Science or related technical field Strong written and verbal English communication skills,
Employement Category:
Employement Type: Full timeIndustry: IT Services & Consulting
Role Category: Not Specified
Functional Area: Not Specified
Role/Responsibilies: Lead - Data Engineer - Hadoop, HDFS, Spark,
Contact Details:
Company: MastercardLocation(s): Other Maharashtra
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Keyskills: Hadoop HDFS Spark Python Scala Hive Impala Airflow SQL Java Spring Boot NET C React Redux Typescript
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Mastercard
As a technology company in the global payments business, we operate the world’s fastest payments processing network, connecting consumers, financial institutions, merchants, governments and businesses in more than 210 countries and territories. Mastercard’s products and solutions ...
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