Join a dynamic team focused on geospatial data and analytics. You'll work with cutting-edge technologies to ensure data accuracy and performance while building robust data pipelines.
In this role, you'll be part of a team dedicated to delivering high-quality geospatial data and analytics solutions. Your primary focus will be on ensuring data accuracy and performance through rigorous testing and validation processes. You'll work closely with other engineers to build and maintain data pipelines that handle large volumes of data, utilizing technologies like Spark and Hadoop, and deploying solutions on Azure.
Your day-to-day responsibilities will include: • Conducting functional testing to ensure data integrity • Implementing performance and load testing for data systems • Collaborating with cloud engineers to set up and maintain infrastructure • Developing CI/CD pipelines to streamline deployment processes • Engaging in MLOps practices to operationalize machine learning models
This position is ideal for someone with a strong background in big data technologies and cloud computing, particularly in Azure. You should have experience in building and managing data pipelines, as well as a solid understanding of CI/CD and infrastructure as code principles. If you're passionate about data and eager to work in a collaborative environment, this role could be a great fit for you.
You'll be taken to the original listing on PNet to apply.