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 play a crucial role in designing and maintaining the data infrastructure that supports operational and supply chain processes. Your work will ensure that data is accessible in real-time, allowing the company to make informed decisions quickly. You'll be part of a team that values data quality and aims to minimize latency in data availability.
In this role, you will be responsible for developing and optimizing ELT/ETL pipelines using tools such as Apache Airflow, SSIS, or Azure Data Factory. You'll also work on data integration across various logistics systems, including ERP, WMS, and TMS. Your expertise in data modeling and SQL optimization will be essential in ensuring that the data is accurate, complete, and valid.
The ideal candidate will have 3 to 5 years of experience in data engineering, particularly in the logistics or supply chain sectors. A strong understanding of data quality metrics and the ability to troubleshoot data issues will be key to your success. If you are passionate about data and have the required skills, this position could be a great fit for you.
Overall, this role suits someone who thrives in a data-driven environment and is eager to contribute to the efficiency of logistics operations. Your contributions will directly impact the company's ability to manage and utilize data effectively.
You'll be taken to the original listing on PNet to apply.