Join a dynamic team focused on geospatial data and analytics. You'll work with cutting-edge technologies to build and optimize data pipelines and infrastructure. This role is ideal for experienced engineers who thrive in a fast-paced environment.
In this role, you'll be part of a team dedicated to delivering geospatial data and analytics solutions. Your main responsibilities will include building high-volume data ingestion and transformation pipelines, ensuring data accuracy, and optimizing performance. You'll work closely with cloud infrastructure, particularly on Azure, to support the data lake and GIS platform initiatives.
Your day-to-day tasks will involve collaborating with various engineering roles, including QA, MLOps, and platform engineers. You'll be responsible for implementing CI/CD practices and infrastructure-as-code to streamline processes. Additionally, you may work on developing AI agents that enhance data delivery and analytics capabilities.
This position suits someone with a strong background in big data technologies and cloud computing, particularly Azure. You should be comfortable with tools like Spark and Hadoop, and have experience in operationalizing machine learning models. A proactive approach to problem-solving and a passion for geospatial data will help you thrive in this role.
Key requirements include: • Extensive experience with big data ingestion and transformation • Proficiency in cloud infrastructure, especially Azure • Familiarity with CI/CD and infrastructure-as-code practices • Knowledge of MLOps and operationalizing machine learning models
If you're ready to take on a challenging role in a forward-thinking company, this opportunity is for you.
You'll be taken to the original listing on PNet to apply.