Java/Spark/Big Data Developer
4 weeks ago
Seeking a Java/Spark Developer with expertise in Big Data processing, Core Java and Apache Spark particularly within the finance domain. Candidates should have a 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.
Key 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.
• Design and implement distribute
• 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 d 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.
Qualification Skills:
• 7 years + of experience in software development with at least 3 years of experience in Java Spark and Big data frameworks.
• mathematical and analytical mindset.
Ability to work in a fast-paced financial environment.
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