J2Ee Developer
TSR, Inc
Lutz, FL, United States
16 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source
Tech stack
Java (Programming Language)
Cloudera Impala
Software Quality
Databases
Continuous Integration
Couchbase Servers
Memory Management
Java Platform Enterprise Edition (J2EE)
Github
Apache Hadoop
Apache Hive
Java Database Connectivity
+18 more
PostgreSQL
MongoDB
MySQL
Neo4j
NoSQL
Object-Oriented Software Development
Oracle (Applications)
Performance Tuning
Microsoft Copilot
Software Engineering
SQL Databases
Multithreading
Enterprise Software Applications
Apache Spark
Agentic-AI
Claude
Software Version Control
Data Pipelines
Job description
- 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).
Requirements
- 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)
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