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 ideal for someone with a strong background in data engineering and a passion for logistics.
As a Senior Data Engineer, you'll be part of a team dedicated to building and maintaining a robust data infrastructure that supports operational and supply chain data needs. Your role will involve designing scalable solutions that ensure secure and real-time access to data, which is crucial for decision-making in logistics and supply chain management. You'll work closely with various data sources, ensuring data completeness and consistency while addressing any data quality issues that may arise.
Your day-to-day responsibilities will include developing ELT/ETL pipelines using tools like Apache Airflow, SSIS, or Azure Data Factory. You'll also be involved in data integration across logistics systems such as ERP, WMS, and TMS. A key part of your role will be data modeling and schema design, along with optimizing SQL queries to enhance performance and efficiency.
This position is best suited for someone with at least 3-5 years of experience in data engineering, particularly within the logistics or supply chain sectors. A strong understanding of data quality metrics and the ability to onboard new data sources quickly will be essential. Relevant certifications, such as Microsoft Certified: Azure Data Engineer Associate or AWS Certified Data Analytics, will be advantageous.
If you're passionate about data and looking to make a significant impact in a fast-paced environment, this role offers a great opportunity to leverage your skills and contribute to the success of the organization.
You'll be taken to the original listing on PNet to apply.