Our client is seeking a Core Java Engineer with an expertise in big data processing, particularly within the TechFin industry. Candidate should have experience working with financial enterprise technologies and large-scale distributed computing systems. This role involves developing and optimizing data pipelines for credit risk calculations and regulatory reporting.
Responsibilities:
- Design, develop, optimize, and maintain scalable data pipelines for processing and analyzing large scale financial data built on Core Java
- Lead projects for developing batch pipeline processes for credit risk analytics including, but not limited to, stress loss (GSST, CCAR) and expected credit loss (CECL, IFRS9, ICAAP)
- Ensure the efficient storage of and retrieval of all risk data in our big data platform systems (Hadoop, Hive, Impala, Spark, etc.)
- Implement best practices for spark performance tuning including, but not limited to, partitioning, caching, and memory management.
- Maintain code quality through high-efficiency testing, CI/CD pipelines (Tekton, Harness), and version control (GitHub).
Qualification Skills:
- 7+ years of experience in software development, specifically Core Java & Java 8 concepts (OOP, OOD, Collections, Exception Handling, JDBC, Multithreading, Streams, Lamda Expressions, Functional Interfaces, etc.).
- 5+ years of experience in SQL/NoSQL database management systems (Oracle, MySQL, Postgres, MongoDB, Couchbase, Neo4j)
- 3+ years of experience leading/owning software development projects from beginning to end with multiple team members.
- Experience working in financial market and credit risk enterprise software systems including, but not limited to, scenario analysis and stress testing.
- Experience with GitHub, Tekton, Harness, and other CI/CD pipeline technologies.
- Ability to work in a fast-paced TechFin environment.
- Experience with agentic AI tools (Devin, Claude, or Copilot)
This is a contract opportunity and work is hybrid.
Location - greater Toronto area
