Join a dynamic team as a Senior Data Engineer, where you'll design and maintain data infrastructure for operational and supply chain data. This role is perfect for someone with a strong background in data engineering and a passion for logistics.
As a Senior Data Engineer, you will be responsible for designing, building, and maintaining a robust data infrastructure that supports real-time access to operational and supply chain data. Your work will involve integrating data from various systems such as Warehouse Management Systems (WMS), Transportation Management Systems (TMS), and Enterprise Resource Planning (ERP) systems, ensuring that data is structured and clean for analysis.
In this role, you will collaborate closely with Business Intelligence and Data Science teams to ensure that data is accessible and usable. You will also be tasked with documentation and data cataloguing to maintain a clear understanding of the data landscape. Your expertise in advanced SQL development and optimization will be crucial in enhancing the performance of data queries and processes.
Key responsibilities include: • Developing and maintaining ELT/ETL pipelines using tools like Apache Airflow, SSIS, or Azure Data Factory. • Managing data lakes and warehouses to ensure efficient data storage and retrieval. • Designing data models and schemas that meet the needs of the business.
The ideal candidate will have 3-5 years of experience in data engineering, preferably within the logistics or supply chain sectors. Relevant certifications, such as Microsoft Certified: Azure Data Engineer Associate or Google Professional Data Engineer, will be advantageous. If you are passionate about data and enjoy working in a collaborative environment, this role could be a great fit for you.
You'll be taken to the original listing on PNet to apply.