Join a dynamic team as a Data Engineer where you'll design and maintain data pipelines that drive analytics and business intelligence. This role is perfect for those who are passionate about data quality and performance.
As a Data Engineer, you will be instrumental in designing, building, and maintaining scalable data pipelines that are crucial for analytics and business intelligence. Your work will ensure that the organization has access to high-quality, reliable data that supports various analytical workloads and AI initiatives. This role is ideal for someone who thrives in a collaborative environment and is eager to contribute to the continuous improvement of data processes.
Your daily responsibilities will include: • Designing and developing ETL/ELT data pipelines that meet the needs of the organization. • Building and optimizing data integrations and platform components to enhance performance. • Ensuring the quality and reliability of data across all pipelines. • Supporting the development of data solutions that facilitate analytics and reporting. • Continuously improving the enterprise data platform to meet evolving business needs.
To succeed in this role, you should have at least 5 years of experience in Data Engineering, with a strong background in data quality assurance and integration. Familiarity with Azure Data Factory is preferred, as it will be a key tool in your daily tasks. If you are passionate about data and enjoy working in a fast-paced environment, this position could be a great fit for you.
You'll be taken to the original listing on PNet to apply.