Senior Java/Spark Developer

• 10+ years of professional software engineering or data engineering experience. \n

• Strong hands-on experience with Java and Apache Spark. \n

• Deep understanding of Spark internals, distributed computing, and performance optimization. \n

• Experience in Capital Markets, financial risk technology, or risk aggregation. \n

• Knowledge of VaR, CCAR, Stress Testing, or FRTB. \n

• Strong SQL and data modeling skills. \n

• Experience with Apache Pinot or Apache Druid is highly desirable. \n

• Bachelor’s or Master’s degree in Computer Science, Financial Engineering, Financial Mathematics, or a related technical field. \n

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• Design and develop high-performance data aggregation platforms using Java and Apache Spark. \n

• Build scalable data pipelines to process billions of financial calculation results. \n

• Optimize Spark applications through partitioning, shuffle optimization, and performance tuning. \n

• Implement complex financial risk aggregation algorithms. \n

• Develop data models and semantic layers for analytics and reporting. \n

• Integrate aggregated data with high-performance OLAP databases such as Apache Pinot and Apache Druid. \n

• Collaborate with quants, risk managers, and engineering teams to deliver scalable solutions. \n

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