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We are seeking a highly motivated and experienced Lead Java Developer to join our Risk Data team. This team is at the forefront of building and enhancing a comprehensive real-time and End-of-Day (EOD) risk data acquisition and processing framework. The role involves leveraging cutting-edge technologies such as Kafka, Flink, and Pinot for real-time data processing, and managing large datasets on S3 with querying capabilities via Trino. As a lead developer, you will play a pivotal role in designing, developing, and optimizing high-performance data solutions that drive critical business functions.
Job Responsibility:
Lead the design, development, and optimization of scalable, high-performance Java-based data solutions for real-time and EOD risk processes
Utilize distributed stream processing frameworks (e.g., Kafka, Flink) and data storage technologies (e.g., Pinot, S3, Trino) to build robust data pipelines
Drive continuous improvement in data reliability and efficiency, and conduct thorough peer code reviews to ensure high-quality software delivery
Contribute significantly to all phases of the Agile software development lifecycle, from requirements analysis to deployment and support
Collaborate effectively with business analysts, project managers, and quality assurance teams to deliver seamlessly integrated technology solutions
Requirements:
Data engineer with a strong command over Java (version 11 or higher) with SQL knowledge
Strong knowledge of multithreading, thread pools, OOP concepts, and design patterns
Experience working in an Agile software development environment
Excellent communication, problem-solving, and analytical skills
Ability to identify ways to improve data reliability, efficiency, and perform peer code reviews
Strong academic record, ideally with a Bachelors or Masters degree in Computer Science, or a related technical/quantitative discipline
Demonstrable success in designing and delivering multi-tiered applications
Nice to have:
7+ years of Java backend development experience
Hands-on production experience with distributed stream processing frameworks: Flink, Spark Streaming, Kafka Streams
Experience with deployment platforms such as Kubernetes, OpenShift, and API development
Experience with working in a truly global development team
Experience with object storage solutions (S3, GCS) is a plus
Working knowledge of consulting/project management techniques/methods
Strong communication skills and attention to detail and accuracy
Demonstrated leadership skills
Basic knowledge of industry practices and standards
Consistently demonstrates clear and concise written and verbal communication
Ideally, an understanding of financial derivatives (with fixed income products) or willingness to learn about this area
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