Java / Spark Developer
Axelon Services Corporation
Rutherford, NJ
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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 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
Rutherford, NJ
POSTED
13 days ago
Pay rate range: $74.00 - $78.00 per hour (Negotiable based upon years of experience)
Global Financial Firm located in RUTHERFORD, NJ has an immediate contract opportunity for an experienced Java /Spark Developer
Summary:
- Immediate contract opportunity available at a Global Financial Firm located in Rutherford, NJ.
- This role is on a Hybrid Schedule, requiring office presence 3 days a week based on team requirements.
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 technologies.
- 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 in Java Spark and Big Data frameworks.
- Strong proficiency in Python and Java Spark with knowledge of core Spark concepts (RDDs, Dataframes, Spark Streaming, etc.).
- 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.
- Proficiency in Git, Jenkins, and CI/CD pipelines.
- Excellent problem-solving skills and a strong mathematical and analytical mindset.
- Ability to work in a fast-paced financial environment.
About the Company
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