Job Description :
Title: Java Engineer Duration: 1 Year + Location: Remote Job Description Must Have: Java or python Financial services (investment banking or trading) Seismic exp What You Will Do: Build and maintain new and existing applications in preparation for a large-scale architectural migration within an Agile function. Align with the Client Reporting Product Owner and Scrum Master 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 Design, build and support data formats, conversion, validation, XML, Json Design, build and launch new data extraction, transformation and loading processes Design and support effective storage and retrieval of very large internal and external data set 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. Mentor junior engineers on various projects. Skills You Will Need: 7+ years of experience in building out core financial trading systems in Core Java and/or Python. Cloud experience (Spark/Scala/EC2/Snowflake Experience integrating and automating Seismic for Sales and Marketing distribution. Substantial knowledge in building out applications within bi-weekly Agile sprint regiment. Knowledge of Jira, Confluence, Agile development methodology & DevOps. Strong knowledge of RDBMS, with a strong preference for Hadoop. 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 technologies. Experience in building web applications using Angular and other java script libraries. 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