Java Spark Developer

Jersey City, NJ, US • Posted 4 days ago • Updated 10 hours ago

Contract W2

On-site

$78 - $80/hr

Fitment

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Job Details

Skills

Jersey
Banking
Brand
Financial Services
Software Development
Python
Streaming
Risk Management
Value At Risk
Stress Testing
Apache Hadoop
Problem Solving
Conflict Resolution
Analytical Skill
Java
Finance
Pricing
Data Storage
Big Data
Apache Spark
Performance Tuning
Caching
Management
Distributed Computing
Modeling
Regulatory Compliance
Testing
Continuous Integration
Continuous Delivery
Version Control
Git
Jenkins
Batch Processing
Market Risk
Analytics

Summary

Grow your career as a Java Spark Developer with an innovative global bank in Jersey City, NJ. Contract role with strong possibility of extension and/or conversion. Will require working a hybrid schedule 2-3 days onsite per week.

Join one of the world's most renowned global banks and trusted brand with over 200 years of continuously evolving financial services worldwide. You will work alongside some of the smartest minds in the industry who are excited to share their knowledge and to learn from you.

Contract Duration: 12+ Months

Required Skills & Experience

7+ years of experience in software development with at least 3 years of experience 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, Spark.
Proficiency on 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.

Desired Skills & Experience

Bachelor's degree/University degree

What You Will Be Doing

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.
Design and implement distributed computing solutions for risk modeling and regulatory compliance.
Maintain high code quality through testing, CI/CD pipelines and version control (Git, Jenkins).
Work on batch processing frameworks for Market risk analytics.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10105282
Position Id: 867679
Posted 4 days ago

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