Search the 13 jobs at Fusemachines

Lead quality assurance initiatives for complex data processing systems while testing data pipelines, cloud infrastructure, and ETL processes on GCP. Collaborate with cross-functional teams to ensure data accuracy and implement automated testing frameworks and QA best practices.

The Mid-Level Data Engineer at Fusemachines will design, build, and maintain infrastructure for data integration, storage, and analytics. They will develop data pipelines and models to support AI/ML projects aimed at enhancing customer experience and driving business growth in the food services sector.

The Senior Data Quality Engineer will ensure data accuracy and efficiency in data movement and transformation processes. Key responsibilities include leading QA initiatives, implementing automated testing frameworks, and collaborating with cross-functional teams to validate and improve data pipelines, focusing on ETL processes and data quality principles.

The Data Engineer will design, build, and maintain data infrastructure for integration, storage, and analytics. Responsibilities include creating data pipelines, supporting operations for global growth, and optimizing data solutions to enhance customer experiences.

Remote consulting position responsible for designing, building, maintaining, and optimizing data infrastructure using Microsoft Azure in the Media Industry. Must have 5+ years of experience as a data engineer with expertise in Azure DevOps, Azure Cloud Platform, ETL development, database management, and programming languages like Python, Java, and Scala.

Full-time Senior Azure Data Engineer role at Fusemachines, responsible for designing, building, maintaining, and optimizing data infrastructure in the Media Industry using Microsoft Azure. Collaborate with cross-functional teams, serve as Azure Cloud solutions SME, and work on solution design.

The Senior Data Engineer role involves designing, building, and maintaining data infrastructure for integration, processing, and analytics. This includes hands-on coding in Python and SQL, mentoring junior colleagues, and working on large-scale data projects in an Agile environment, particularly in the aviation industry.

The System Admin Engineer will manage Linux and Windows servers, ensure system availability, perform troubleshooting, automate tasks using scripts, maintain security and backups, provide technical training, manage network systems, and liaise with vendors for problem resolution, all while working under tight deadlines.

The Assistant Manager, Finance will oversee financial reporting, budgeting, and compliance tasks. Responsibilities include preparing financial statements, conducting variance analysis, assisting in budget development, and ensuring regulatory compliance. The role also involves cash flow management and providing strategic financial analysis to support business decisions.

The Senior Data Engineer will design, build, and maintain the infrastructure for data integration, storage, processing, and analytics in Azure. Responsibilities include coding, mentoring junior staff, and collaborating with teams to migrate data solutions, focusing on data quality and performance optimization in the aviation industry.

Remote consulting position responsible for designing, building, maintaining, and optimizing infrastructure for data integration and analytics using Microsoft Azure in the Media Industry. Must have expertise in Azure, SQL, ETL pipelines, and programming languages like Python and Scala. Required to work with cross-functional teams and possess certifications in Azure and Databricks.

The Senior Data Quality Engineer will lead quality assurance initiatives for data pipelines and ETL processes on Google Cloud Platform. Responsibilities include implementing automated testing frameworks, ensuring data accuracy and reliability, collaborating with teams to improve data quality, and applying best practices in QA.

The role involves designing, building, and maintaining data integration infrastructure, with a focus on optimizing analytics and digital channels for the food services industry. The engineer will work with modern data technologies, creating data pipelines and models to support AI/ML analytics projects aimed at enhancing customer experiences and driving growth.