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 with a strong background in data engineering looking to make an impact in a hybrid work environment.
As a Data Engineer, you will be instrumental in designing, building, and maintaining scalable data pipelines that support the organization's analytics and business intelligence efforts. Your work will ensure that high-quality data is available for various applications, including AI and reporting. This role requires a proactive approach to optimizing data processing and platform performance, making it ideal for someone who enjoys problem-solving and improving systems.
Your daily responsibilities will include: • Designing and developing ETL/ELT data pipelines that are efficient and reliable. • Building and optimizing data integrations and platform components to enhance performance. • Ensuring the quality and reliability of data across all pipelines. • Supporting the continuous improvement of the enterprise data platform to meet evolving business needs.
The ideal candidate will have at least five years of experience in data engineering, with a strong understanding of data pipeline design and integration. Familiarity with Azure Data Factory is preferred, as it will be a key tool in your role. You should be comfortable working in a hybrid environment, collaborating with team members to deliver trusted data solutions that drive business insights.
If you are passionate about data and want to contribute to a collaborative and innovative team, this position is a great fit for you. Your expertise will play a crucial role in shaping the data landscape of the organization.
You'll be taken to the original listing on PNet to apply.