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'll play a crucial role in designing, building, and maintaining a robust data infrastructure that supports operational and supply chain data. Your work will ensure that data is accessible in real-time, allowing the company to make informed decisions quickly. This position is ideal for someone with a strong background in data engineering, particularly in the logistics and supply chain sectors, where data accuracy and speed are critical.
Your daily responsibilities will include developing ELT and ETL pipelines, integrating data from various logistics systems such as ERP, WMS, and TMS, and ensuring data quality through effective modeling and schema design. You will also be tasked with optimizing SQL queries to enhance performance and reduce latency in data availability.
To succeed in this role, you should have at least 3-5 years of experience in data engineering, with a solid understanding of tools like Apache Airflow, SSIS, or Azure Data Factory. Certifications such as Microsoft Certified: Azure Data Engineer Associate or AWS Certified Data Analytics will be beneficial. A keen eye for detail and a commitment to data integrity will help you thrive in this position.
This role is not for beginners; it requires a seasoned professional who can handle the complexities of data management in a fast-paced environment. If you're passionate about data and eager to contribute to a team that values quality and efficiency, this could be the perfect opportunity for you.
You'll be taken to the original listing on PNet to apply.