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Seeking a senior Spark Java Developer with expertise in big data processing, Python, and Apache Spark, particularly within the finance domain. The candidate should have strong experience working with financial instruments, market risk, and large-scale distributed computing systems. This role involves developing and optimizing data pipelines for risk calculations, trade analytics, and regulatory reporting.
Job Responsibility:
Develop and optimize scalable Spark Java-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:
10 years + of experience in software development
at least 5 years of experience in Spark Java and Big data frameworks
strong proficiency in Python and Spark Java
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 in Git, Jenkins, and CI/CD pipelines
excellent problem-solving skills
strong mathematical and analytical mindset
ability to work in a fast-paced financial environment
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