5 data warehouse jobs found in Geneva

Data Engineer (H/F) Location Switzerland, Geneva Category Consultancy Position Type Regular Full-Time Working Model Hybrid Overview At (Collaboration Betters The World), a global technology consulting firm, collaboration is the cornerstone of innovation and success, and the foundation of everything we do. Our mission: to transform businesses and communities for a better world. Present in more than 20 countries and 35 cities, we combined global expertise with a local understanding of our clients' challenges. Within the   "   Data Analytics   & AI   " Service Line, we are developing an approach that aims to support our clients in defining their strategies for Data Science and AI, Analytics and Business Intelligence, and Data and Platforms. The goal is to support them at every stage of their journey to help them unlock the potential of their data. Responsibilities What are you going...

Garda Capital Partners (Garda) is a multi-billion dollar alternative investment firm with over 22 years of experience deploying relative value strategies across fixed income markets for institutional investors. Garda's primary offices are located in Wayzata, New York City, West Palm Beach, Geneva, Zug, Copenhagen, Singapore, and Scottsdale. Garda is looking for a   Data Engineer   in its Research and Technology (R&T) group based out of our Geneva Office. The R&T team is responsible for all of the firm's applications & infrastructure including data management, analytics, portfolio and risk management. The selected candidate will be experienced in processing and manipulating data, developing scalable and performant data delivery systems, data APIs and platforms. This position requires proficiency and experience in software development using Python. While prior business knowledge is not mandatory, capital markets related experience will be a plus. Position...

Who is Sonar? Sonar helps prevent code quality and code security issues from reaching production, amplifies developers' productivity in concert with AI assistants, and improves the developer experience with streamlined workflows. Sonar analyzes all code, regardless of who writes it — your internal team, genAI, or third parties — resulting in more secure, reliable, and maintainable applications. Rooted in the open source community, Sonar’s solutions support over 30 programming languages, frameworks, and infrastructure technologies. Today, Sonar is used by +7M developers and 400K organizations worldwide, including the DoD, Microsoft, NASA, MasterCard, Siemens, and T-Mobile. We believe in developing great products that are supported by great internal teams and a strong culture. We are highly   committed   to and   obsessed   with the company, users, each other, and our open source community. We have high standards and hold each other accountable for acting with...

Who is Sonar? Sonar helps prevent code quality and code security issues from reaching production, amplifies developers' productivity in concert with AI assistants, and improves the developer experience with streamlined workflows. Sonar analyzes all code, regardless of who writes it — your internal team, genAI, or third parties — resulting in more secure, reliable, and maintainable applications. Rooted in the open source community, Sonar’s solutions support over 30 programming languages, frameworks, and infrastructure technologies. Today, Sonar is used by +7M developers and 400K organizations worldwide, including the DoD, Microsoft, NASA, MasterCard, Siemens, and T-Mobile. We believe in developing great products that are supported by great internal teams and a strong culture. We are highly   committed   to and   obsessed   with the company, users, each other, and our open source community. We have high standards and hold each other accountable for acting with...

The team, position & mission: We are looking for a hands-on Expert Data Engineer to join our dynamic team. The ideal candidate will have a strong foundation in SQL, with a proven track record of building and optimizing data systems and pipelines. Your key areas of responsibility as Data Engineer: Design, build, and maintain efficient, reliable, and scalable data pipelines. Develop ETL packages as well as complex SQL queries and stored procedures to support data extraction, transformation, and loading processes. Lead the data lakehouse/warehouse modeling to ensure scalable, maintainable, and high-performance data architecture. Work closely with stakeholders to understand their data needs and deliver solutions that meet these requirements. Monitor and optimize database performance, including tuning SQL queries and ETL packages for optimal execution. Collaborate with data analysts and other team members to support data-related technical...