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Full Stack Developer

Newark, NJ
Our fortune 500 client is looking for a Full Stack Developer for a Contract to hire opportunity.  Must be GC or US Citizen.
Job Description:


Full  Stack Developer
•            Build new and existing applications in preparation for a launch of new business.
•            Align with the business teams and rest of the AMFMCT teams in assessing business needs and transforming them into scalable applications.
•            Build and maintain code to manage data received from heterogenous data formats including web-based sources, internal/external databases, flat files, heterogenous data formats (binary, ASCII).
•            Work with industry wide caching frameworks (HazelCast, Redis, MemCach) to leverage distributed caching methodology and optimize application performances
•            Design and implement event base services leveraging messaging frameworks such as Kafka, Zero-MQ, Rabbit-MQ … in order to build close to real-time streaming framework.
•            Design and support effective storage and retrieval of very large internal and external data set and be forward think about the convergence strategy with our AWS cloud migration
•            Assess the impact of scaling up and scaling out and ensure sustained data management and data delivery performance.
•            Build interfaces for supporting evolving and new applications and accommodating new data sources and types of data.

Your Required Skills:
•            10+ years of experience in building out core financial trading systems in Core Java and/or Python.
•            Cloud experience (Spark/Scala/EC2/Redshift).
•            Direct experience supporting front office end-users (PM, Quant, Risk) and sound understanding of capital markets within Fixed Income.
•            Knowledge of Jira, Confluence, SAFe development methodology & DevOps.
•            Experience with building microservices using Spring boot framework.
•            Experience with one of the messaging frameworks like Kafka, Rabbit-MQ or IBM MQ.
•            Experience with one of the caching frameworks.
•            Excellent analytical and problem-solving skills with the ability to think quickly and offer alternatives both independently and within teams.
•            Proven ability to work quickly in a dynamic environment.
•            Bachelor's degree in Finance, Statistics, Economics, Computer Science or a related field.

 

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