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 a robust data infrastructure that supports real-time access to operational and supply chain data. Your expertise will ensure that data is integrated seamlessly across various systems, including WMS, TMS, and ERP. You will be responsible for monitoring data latency and ensuring data completeness and consistency across all sources.
In your day-to-day work, you will develop and manage ETL/ELT pipelines using tools like Apache Airflow, SSIS, or Azure Data Factory. You will also focus on data quality management, which includes validating, transforming, and cleansing data to maintain high standards of accuracy and completeness. Your role will involve collaborating with other teams to onboard new data sources efficiently and address any data-related issues that arise.
This position is best suited for someone with at least 3-5 years of experience in data engineering, particularly in the logistics or supply chain sectors. A strong understanding of SQL and data integration techniques is essential. Additionally, 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 professional environment that values data-driven decision-making, this role could be a great fit for you. Your contributions will directly impact the efficiency and effectiveness of the company's data operations.
You'll be taken to the original listing on PNet to apply.