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Artificial Intelligence • Information Technology • Professional Services • Software • Analytics • Generative AI • Big Data Analytics
Develop and enhance Java applications using Spring Framework, write SQL queries, and implement TDD. Prefer experience in investment banking.
Artificial Intelligence • Information Technology • Professional Services • Software • Analytics • Generative AI • Big Data Analytics
Build and maintain scalable ETL pipelines and databases to ingest, transform, reconcile, and deliver OTC derivatives data for regulatory, operational, and business reporting. Develop SQL objects, stored procedures, and automated reports; enforce data quality, governance, and security controls; participate in Agile delivery, CI/CD, and production support.
Artificial Intelligence • Information Technology • Professional Services • Software • Analytics • Generative AI • Big Data Analytics
Build and maintain Java-based backend and scalable data pipelines while migrating legacy ETL from on-prem (Teradata) to cloud-native platforms (Databricks, Snowflake). Collaborate with engineering and architecture teams on modernization, performance tuning, testing, deployment, and production support for enterprise-scale distributed data systems.
Artificial Intelligence • Information Technology • Professional Services • Software • Analytics • Generative AI • Big Data Analytics
Design, build, and maintain responsive, high-performance Angular web applications. Translate UX designs into reusable code, integrate RESTful APIs, optimize performance, write tests, participate in code reviews, and mentor junior developers.
Artificial Intelligence • Information Technology • Professional Services • Software • Analytics • Generative AI • Big Data Analytics
Senior Java developer responsible for designing, building and optimizing enterprise Java applications using Spring and SQL. Apply TDD, write unit/integration tests, implement multithreaded low-latency solutions for financial systems, collaborate with DevOps/QA/product teams, and translate business requirements into technical designs.
Artificial Intelligence • Information Technology • Professional Services • Software • Analytics • Generative AI • Big Data Analytics
Design, develop, and support relational databases for global trading applications. Responsibilities include database architecture, schema design, SQL/stored procedure development, performance tuning, capacity planning, ETL pipeline maintenance, deployments, on-call production support, and collaboration with global teams to deliver continuous improvements.
Artificial Intelligence • Information Technology • Professional Services • Software • Analytics • Generative AI • Big Data Analytics
Design, build, and operate production-grade GenAI workflow platforms for Lending: document ingestion and extraction, AI assistants, automated content generation, LLMOps, model selection and evaluation, retrieval systems, PII controls, and governance with human-in-the-loop review and reliability monitoring.
Artificial Intelligence • Information Technology • Professional Services • Software • Analytics • Generative AI • Big Data Analytics
The Regulatory Reporting Developer will develop applications for regulatory reporting using Java, Python, and Scala/Spark, manage data integration, and build Power BI dashboards, ensuring compliance and optimizing business logic.
Artificial Intelligence • Information Technology • Professional Services • Software • Analytics • Generative AI • Big Data Analytics
Design, build, and optimize Databricks Lakehouse data platforms and production ETL/ELT pipelines using PySpark, Delta Lake, and medallion architectures. Implement governance with Unity Catalog, manage CI/CD and IaC, optimize Spark and clusters for performance/cost, collaborate with data science and analytics teams, and mentor engineers while driving observability and security/compliance practices.
Artificial Intelligence • Information Technology • Professional Services • Software • Analytics • Generative AI • Big Data Analytics
Design, build, and optimize Snowflake-based data platforms: ingest and model data, implement ELT pipelines, enforce governance and security, tune performance, build CI/CD, enable near-real-time solutions, mentor engineers, and collaborate with stakeholders.
Artificial Intelligence • Information Technology • Professional Services • Software • Analytics • Generative AI • Big Data Analytics
Lead architecture, build, and scale a Databricks lakehouse: design batch/streaming pipelines, enforce governance with Unity Catalog, optimize Spark workloads, operationalize ML (MLflow), manage cloud/IaC, mentor engineers, and partner with stakeholders on roadmap and security/compliance.
