As a Senior Data Engineer, you'll play a crucial role in designing and optimizing data systems using Microsoft Azure. This position is ideal for someone with a strong background in data engineering and a passion for analytics and machine learning.
In this role, you'll be responsible for designing, building, and optimizing data pipelines and architectures that leverage Microsoft Azure technologies. Your work will support analytics and machine learning initiatives, enabling data-driven decision-making across the organization. You'll collaborate closely with the Data Warehouse and Business Intelligence teams to ensure that data flows efficiently and effectively meet business needs.
Your day-to-day tasks will include: • Developing and maintaining data pipelines that ensure high data quality and availability • Optimizing existing data architectures for performance and scalability • Collaborating with data scientists and analysts to understand their data requirements • Implementing best practices for data governance and security
This position is well-suited for experienced data engineers who are comfortable working with cloud technologies and have a strong understanding of data architecture principles. Familiarity with machine learning lifecycle tools like MLflow and Azure ML is a plus, as it will enhance your ability to support advanced analytics projects.
If you are passionate about data engineering and eager to work in a dynamic environment focused on leveraging data for strategic insights, this role could be a great fit for you.
You'll be taken to the original listing on PNet to apply.