Java Spark Developer
Axelon Services Corporation
Jersey City, NJ
Apply
JOB DETAILS
SKILLS
Analysis Skills, Apache Hadoop, Apache Spark, Best Practices, Big Data, Caching, Continuous Deployment/Delivery, Continuous Integration, Data Management, Data Recovery, Data Storage, Distributed Computing, Financial Analysis, Financial Risk Management, Git, Global Financial Markets, Java, Jenkins, Market Analysis, Mathematics, Memory Management, Performance Tuning/Optimization, Problem Solving Skills, Product Pricing, Python Programming/Scripting Language, Quality Management, Regulatory Compliance, Risk, Risk Analysis, Risk Modeling, Scalable System Development, Software Development, Software Engineering, Source Code/Configuration Management (SCM), Stock Market, Stress Testing, Value At Risk (VaR)
LOCATION
Jersey City, NJ
POSTED
13 days ago
Pay Rate: $74.00 - $78.00 per hour (Negotiable based upon years of experience)
Global Financial Firm located in JERSEY CITY, NJ has an immediate contract opportunity for an experienced Java Spark Developer
Summary:
- Global Financial Firm located in Jersey City, NJ has an immediate contract opportunity
- This role is currently on a Hybrid Schedule
- Expected in the office weekly 3 days depending on the team requirement
Responsibilities:
- Develop and optimize scalable Java Spark-based data pipelines for processing and analyzing large scale financial data
- Design and implement distributed computing solutions for risk modeling, pricing, and regulatory compliance
- Ensure efficient data storage and retrieval using Big Data
- Implement best practices for Spark performance tuning including partition, caching, and memory management
- Maintain high code quality through testing, CI/CD pipelines, and version control (Git, Jenkins)
- Work on batch processing frameworks for Market risk analytics
Requirements:
- 7 years of experience in software development with at least 3 years of experience in Java Spark and Big Data frameworks
- Experience working in financial markets, risk management, and financial instruments
- Familiarity with market risk concepts including VaR, Greeks, scenario analysis, and stress testing
- Hands-on experience with Hadoop and Spark
Required Skills:
- Strong proficiency in Python and Java Spark with knowledge of core Spark concepts (RDDs, Dataframes, Spark Streaming, etc.)
- Proficiency in Git, Jenkins, and CI/CD pipelines
- Excellent problem-solving skills and strong mathematical and analytical mindset
- Ability to work in a fast-paced financial environment
About the Company
A