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Seeking a senior Pyspark Developer with expertise in big data processing, Python and Apache spark particularly within finance domain. Candidate should have a strong experience working with financial instruments, market risk and large scale distributed computing systems.
Job Responsibility:
Develop and optimize scalable PySpark-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:
Strong experience in software development with experience in PySpark and Big data frameworks
Strong proficiency in Python and Pyspark 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
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