Software Engineer - Big Data Software Engineer - Big Data …

J.P.Morgan
à New York, NY, États-Unis
CDI, Plein-temps
Soyez parmi les premiers à postuler
Competitive
J.P.Morgan
à New York, NY, États-Unis
CDI, Plein-temps
Soyez parmi les premiers à postuler
Competitive
Software Engineer - Big Data
Our Consumer & Community Banking Group depends on innovators like you to serve nearly 66 million consumers and over 4 million small businesses, municipalities and non-profits. You'll support the delivery of award winning tools and services that cover everything from personal and small business banking as well as lending, mortgages, credit cards, payments, auto finance and investment advice. This group is also focused on developing and delivering cutting edged mobile applications, digital experiences and next generation banking technology solutions to better serve our clients and customers.
As an experienced Big Data Engineer, your mission is to help lead our team of innovators and technologists toward creating next-level solutions that improve the way our business is run. Your deep knowledge of design, analytics, development, coding, testing and application programming will help your team raise their game, meeting your standards, as well as satisfying both business and functional requirements. Your expertise in various technology domains will be counted on to set strategic direction and solve complex and mission critical problems, internally and externally. Your quest to embracing leading-edge technologies and methodologies inspires your team to follow suit. And best of all, you'll be able to harness massive amounts of brainpower through our global network of technologists from around the world.

Bachelor's Degree or better in Engineering, Computer Science or Information Technology
Cloud Computing - AWS
BigData, Hadoop, Hive
ODS - Cassandra
Java 8 / Spark
ETL - Talend
Real time messaging - Kafka / Java on Gaia Application Platform
Exposure to Machine Learning will be a big +
3 years of experience in middle-tier/backend systems development in Java/Linux
Big data background with experience designing and implementing large scale systems
Working experience with Hadoop, Enterprise Java development, NoSQL data platforms (Cassandra), Pub/sub messaging (Rendezvous, AMPS, Kafka, etc.), Stream processing (Storm, Hbase, Nifi, Spark Streaming, etc.), Batch Processing with tools such as Talend, Informatica, or Hive/SQL and Visualization with Tableau.
Extensive experience with horizontally scalable and highly available system design and implementation, with focus on performance and resiliency
Extensive experience profiling, debugging, and performance tuning complex distributed systems
Willingness to commit extra effort to meet deadlines as required on a high profile and business critical project
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