Global Data & Analytics organization is the team of expert technologists responsible for building big data platforms and data services with innovative technologies to enable MetLife businesses to generate insights, and value to its customers. This team plays a central role in Design, Build & Integration of all emerging technologies and cutting edge products across MetLife Data Hub and Enterprise Data Management Systems.
The Lead Software Development Engineer - Emerging Platform Applied Engineering Leads will contribute in platform designs, development aspects with focus on delivering end-to-end solutions and build reusable framework and utilities. The candidate should have prior hands-on experience with Big Data technologies and working knowledge on Big Data tools.
Contribute to all Applied Engineering activities including idea generation, requirements, project planning, frameworks, building roadmap, etc.
Drive the platform design, engineered systems, and delivery of any data and analytics requirements with business groups
Publish and enforce technology best practices, configuration recommendations, usage design/patterns, and cookbooks to developer community
Engineer frameworks for reusable services, customization/development required including visualizations
Coordinate multiple offshore and onshore teams for development, setup and framework rollout activities
Platform SME and provide Level-3 technical support for troubleshooting
At MetLife, we’re leading the global transformation of an industry we’ve long defined. United in purpose, diverse in perspective, we’re dedicated to making a difference in the lives of our customers.
Essential Business Experience and Technical Skills:
Hands-on knowledge of the Big Data technologies Hadoop, Spark, Hive, HBase, Sqoop, Flume, Pig, Kafka, Python, Shell Scripts, etc.
Experience with solution architecture, design, development , and understanding of data life cycle: data acquisition, data quality management, data governance, and metadata management
Experience with detailed level of data analysis using technical tools; Alteryx, Arcadia, Qlik, Power BI etc.
Experience in large scale data warehouse implementations and knowledge of ETL technologies such as Informatica, Talend etc.
Minimum bachelor degree required, master degree preferred. 10+ years of experience in IT environment; 2 to 3 years of experience in relevant Big Data technologies
Hands-on working experience with one or more Hadoop distribution from Hortonworks, Cloudera or MapR.
Experience in one or more cloud framework such as Azure PAAS, AWS etc.
Capable of building, articulating, and presenting new ideas to technical, non-technical, and business communities.
Possess creativity and innovation skills, demonstrate the ability compare and analyze different tools and technologies, and make appropriate recommendations
Excellent written and verbal communication skills.
Relocation expenses are negotiable.
Internal Number: 107213
At MetLife, we put customers at the absolute center of everything we do. In fact, we believe technology will transform the customer experience and are investing nearly $300 million in new technologies that will help us innovate and develop new products and services to better serve our customers.We're actively seeking world-class talent for the GTO division, building a diverse, global and highly skilled workforce that is passionate about the same things we are — pushing ourselves to learn and grow, to be efficient, to share experiences and knowledge and to collaborate as a global team.