The ideal candidate will have in-depth technical knowledge in full-stack Java and will feel comfortable working within large internal and external data sets AND experience integrating and automating Seismic for Sales and Marketing distribution.
Your Impact:
- Build and maintain new and existing applications in preparation for a large-scale architectural migration within an Agile function.
- Align with the 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.
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/Snowflake).
- 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.
- 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.