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 will play a crucial role in designing, building, and maintaining scalable data infrastructure. Your work will ensure that operational and supply chain data is accessible in real-time, which is vital for the company's logistics operations. You will be responsible for managing data latency, completeness, and quality, ensuring that the data is accurate and readily available for analysis and decision-making.
In your day-to-day tasks, you will develop and optimize ELT/ETL pipelines using tools such as Apache Airflow, SSIS, or Azure Data Factory. You will also work on data integration across various logistics systems, including ERP, WMS, and TMS. Your expertise in data modeling and schema design will be essential in creating a robust data architecture that supports the company's needs.
This role is suited for someone with at least 3-5 years of experience in data engineering, preferably within the logistics or supply chain sectors. A strong understanding of SQL and data optimization techniques is a must. Additionally, certifications like Microsoft Certified: Azure Data Engineer Associate or AWS Certified Data Analytics will be beneficial in this position.
If you are passionate about data and want to contribute to a team that values quality and efficiency, this role could be a great fit for you. Your ability to tackle data challenges and improve data accessibility will be key to your success in this position.
You'll be taken to the original listing on PNet to apply.