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A Java/C++ developer who builds, maintains, and secures market risk applications, debugging issues and fixing vulnerabilities in Linux environments with Git collaboration.
Builds and optimizes scalable data pipelines using ETL, Apache Spark, Scala, and cloud storage to process big data, while collaborating with BI tools like Databricks and Power BI for analytics.
Develop and debug Java/C++ applications for market-risk systems, remediate vulnerabilities, and analyze calculation engine traces in Linux environments.
Develop and debug Java/C++ applications for market-risk systems in Linux environments, troubleshooting issues and supporting remediation of vulnerabilities.
Build and own backend services for fixed income, trading, and risk systems using Java, Spring Boot, APIs, SQL, and messaging in a 7-person team.
Build and maintain cloud-based data platforms for clients, designing scalable analytics architectures using Azure, GCP, or AWS.
Build and maintain a React/Python fullstack AI-driven trading app using microfrontends, microservices, and AWS Lambda for a major banking client.
Client-facing SAS data engineering consultant builds and manages data pipelines, writes SQL, and delivers analytics solutions for clients using SAS, Tableau, and Python.
Build and maintain modern data platforms in the cloud, designing scalable analytics pipelines and transforming raw data into actionable insights for strategic projects.
Senior analytics engineer designs and implements modern cloud data architectures for key projects, using SQL and orchestration tools like Airflow.
Design and optimize large-scale Spark-based data processing solutions, lead backend architecture decisions, and mentor developers to ensure platform scalability and reliability.
Senior full-stack engineer in Santiago building scalable Java/Spring Boot apps while integrating AI tools across the software lifecycle.
Design and deploy end-to-end data analytics solutions using Azure and Microsoft Fabric, building modern data platforms, ETL pipelines, and Power BI reports for enterprise clients.
Design and deploy end-to-end data analytics solutions using Azure and Microsoft Fabric, including ETL pipelines, data lakes, warehouses, and Power BI reports for clients in finance, healthcare, mobility, and climate sectors.
Build and maintain data pipelines, implement dbt models, and create Power BI dashboards to support analytics and AI-driven insights for international clients.
Mid-level backend engineer builds and optimizes data pipelines using Apache Spark and SQL for large-scale financial systems.
Builds Java/Angular apps and AI-driven microservices for an international team in Málaga.
Designs and maintains AWS cloud infrastructure, builds CI/CD pipelines with Kubernetes, and mentors junior engineers in a hybrid consulting role.
Designs and maintains scalable ETL pipelines using Apache Spark and Scala, collaborating with teams to build big-data solutions in a hybrid Warsaw role.
Full Stack Developer to design and build high-availability software, set development best practices, and drive DevOps processes for large-scale IT transformations across finance, logistics, and other sectors.
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