As a Senior Data Engineer, you'll play a key role in shaping data solutions that drive business insights. Your expertise in Microsoft Azure will be crucial for building and optimizing data pipelines.
In this role, you'll be responsible for designing and building robust data pipelines and architectures using Microsoft Azure. Your work will support analytics and machine learning initiatives, enabling the organization to make informed, data-driven decisions. You'll collaborate closely with the Data Warehouse and Business Intelligence teams to ensure that data flows efficiently and effectively throughout the organization.
Your day-to-day responsibilities will include: • Designing data pipelines that are scalable and efficient. • Optimizing existing data architectures to improve performance. • Collaborating with data scientists and analysts to understand their data needs. • Implementing best practices for data management and governance.
This position is ideal for someone with a strong background in data engineering and a passion for leveraging technology to solve complex problems. Familiarity with machine learning lifecycle tools like MLflow and Azure ML will be beneficial, but the primary focus will be on your ability to work with Azure technologies. If you're looking to make a significant impact in a data-driven environment, this role could be a great fit for you.
You'll be taken to the original listing on PNet to apply.