Java/Spark Developer
Why This Role Stands Out
In this hybrid Java/Spark Developer role with a premier financial services client, you'll gain invaluable experience optimizing big data pipelines for critical credit risk calculations and regulatory reporting, offering significant career growth. This position is ideal for a mid-senior developer with a strong background in Java and Apache Spark who thrives on complex problem-solving and driving impactful projects. Apply today to join a reputable company and contribute to cutting-edge financial technology.
Quick Overview
Job Description
Responsibilities :
- Seeking a candidate with expertise in big data processing, particularly within the TechFin industry. 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.
- Design, develop, optimize, and maintain scalable data pipelines for processing and analyzing large scale financial data built on Core Java and Apache Spark.
- 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).
- 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.
- 2+ years of experience in Apache Spark (Java API) with good knowledge of Apache Spark concepts (RDD, DataFrame, Dataset, etc.)
- 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)
SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company to request an accommodation or assistance regarding our policy
Skills
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