2 joburi disponibile

Front Office Data & Analytics Application Engineer Location: Houston Sector: Trading, Data Science, Front Office Engineering Our client, a leading player in the global trading landscape, is seeking a Front Office Data & Analytics Application Engineer to join a high-performance team operating at the intersection of software innovation and commercial strategy. This opportunity is to work in a truly dynamic and data-rich environment, partnering directly with traders and research analysts. The role offers the chance to build cutting-edge applications in Real Time, underpinned by modern cloud technologies and sophisticated data engineering practices. The successful candidate will be a key contributor to the design and delivery of mission-critical analytics tools, components, and platforms. Core Responsibilities: Design and engineer microservices, frameworks, and applications tailored for the Front Office. Build robust cloud-native big data platforms and analytics pipelines. Develop and maintain time-sensitive data integration flows (ETL/ELT). Contribute to global infrastructure and shared services with a focus on scalability and performance. Apply software craftsmanship, domain-driven design, and agile delivery principles. Solve complex business problems with elegant and efficient technical solutions. Required Experience and Skills: 5+ years of software engineering experience in a data-driven environment. Proficiency in Java, React and Python with a strong foundation in object-oriented programming. Demonstrated expertise in test-driven development and modern SDLC practices. Solid experience with cloud ecosystems; AWS knowledge (S3, Redshift, Glue, Lambda) highly advantageous. Experience building Front End micro-apps or micro-views is a welcome asset. Bachelor's degree in Computer Science or a related technical discipline.

Front Office Data & Analytics Application Engineer Location: Houston Sector: Trading, Data Science, Front Office Engineering Our client, a leading player in the global trading landscape, is seeking a Front Office Data & Analytics Application Engineer to join a high-performance team operating at the intersection of software innovation and commercial strategy. This opportunity is to work in a truly dynamic and data-rich environment, partnering directly with traders and research analysts. The role offers the chance to build cutting-edge applications in Real Time, underpinned by modern cloud technologies and sophisticated data engineering practices. The successful candidate will be a key contributor to the design and delivery of mission-critical analytics tools, components, and platforms. Core Responsibilities: Design and engineer microservices, frameworks, and applications tailored for the Front Office. Build robust cloud-native big data platforms and analytics pipelines. Develop and maintain time-sensitive data integration flows (ETL/ELT). Contribute to global infrastructure and shared services with a focus on scalability and performance. Apply software craftsmanship, domain-driven design, and agile delivery principles. Solve complex business problems with elegant and efficient technical solutions. Required Experience and Skills: 5+ years of software engineering experience in a data-driven environment. Proficiency in Java, React and Python with a strong foundation in object-oriented programming. Demonstrated expertise in test-driven development and modern SDLC practices. Solid experience with cloud ecosystems; AWS knowledge (S3, Redshift, Glue, Lambda) highly advantageous. Experience building Front End micro-apps or micro-views is a welcome asset. Bachelor's degree in Computer Science or a related technical discipline.