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 play a crucial role in designing, building, and maintaining a robust data infrastructure that supports the operational and supply chain needs of the company. Your work will ensure that data is accessible in real-time, which is vital for decision-making processes. You will be responsible for managing data latency, completeness, and consistency across various sources, which are key metrics for the success of the data operations.
Your day-to-day tasks will include developing ELT and ETL pipelines using tools such as Apache Airflow, SSIS, or Azure Data Factory. You will also focus on data integration across logistics systems, including ERP, WMS, and TMS. Data modeling and schema design will be part of your responsibilities, along with optimizing SQL queries to enhance performance.
This role is ideal for someone with 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 essential. Additionally, having certifications like Microsoft Azure Data Engineer Associate or AWS Certified Data Analytics will be beneficial.
If you are passionate about data and enjoy working in a fast-paced environment, this position could be a great fit for you. You will have the opportunity to contribute to significant projects and help shape the data strategy of the organization.
You'll be taken to the original listing on PNet to apply.