Java/Spark/Big Data Developer

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.