Java/Spark/Big Data Developer
2 days 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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