3 jobs found

Are you passionate about data engineering, large-scale data processing, and building robust pipelines in the cloud? We’re looking for a Scala Developer / Data Engineer to support and evolve our Spark-based credit risk platform while maintaining efficient ETL workflows in Azure Data Factory. What you will do: Develop and maintain features for a Scala-based application running on Apache Spark Design and optimize Spark jobs and workflows for scalable data processing Identify and resolve performance issues and bugs in the Spark ecosystem Build and maintain ETL pipelines in Azure Data Factory (ADF) Automate and monitor data integration processes across various platforms Collaborate with risk managers, analysts, and engineers to implement data-driven solutions What you bring & who you are: Master’s degree in Computer Science, Engineering, IT or a related field Strong hands-on experience with Scala and Apache Spark Proven...

Workload 80 to 100% Place of work in Baden-Dättwil / Home office Entry immediately or by arrangement aXenta AG, based in Baden-Dättwil, has been developing innovative software solutions for pension professionals since 1999. Today, we specialize in the development, implementation, and support of high-quality administration software. The company primarily targets occupational pension institutions (BVG) and counts well-known Swiss companies among its customers. aXenta AG is a subsidiary of Swiss Life Schweiz AG and, with approximately 50 employees, is one of the leading software manufacturers in the second pillar sector. You are a passionate software developer with solid engineering skills. Together with your teammates, you analyze, conceptualize, and develop new functionalities based on current technology standards. You maintain, expand, and modernize existing software components. You are equally at home in the...

Interested in exciting projects in the field of data and artificial intelligence? Then join our Center of Excellence Data&AI. Become part of our team and develop innovative solutions on Azure. Tasks You develop and optimize complex data pipelines on Azure. You perform data queries from various applications. You structure and cleanse data sets for business insights, reporting and ML/AI. You will work closely with data scientists, analysts and engineers on data-based applications and models. You automate processes with scripts and tools in Databricks and Azure. You fix errors and optimize the performance of pipelines and workflows. You coordinate data transfers and usage with stakeholders. You support the deployment and maintenance of ML/AI models. Profile You have a bachelor's or master's degree in computer science, data science or a related field. You have experience in cloud data engineering and in...