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 be part of a team dedicated to building and maintaining a robust data infrastructure that supports operational and supply chain needs. Your primary responsibility will be to ensure that data is accessible in real-time, with a focus on quality and consistency across various sources. This role is crucial for optimizing data latency and improving the overall user experience in data discovery.
Your day-to-day tasks will involve designing and developing ELT/ETL pipelines using tools such as Apache Airflow, SSIS, or Azure Data Factory. You'll also work on integrating data across logistics systems, including ERP, WMS, and TMS, while ensuring that data models and schemas are well-designed and optimized for performance.
This position is best suited for someone with 3 to 5 years of experience in data engineering, particularly in the logistics or supply chain sectors. A strong understanding of SQL and data modeling is essential, along with any relevant cloud certifications like Microsoft Azure or AWS. If you have a passion for data and a desire to work in a fast-paced environment, this role could be a great fit for you.
In summary, you'll be responsible for: • Designing and maintaining data infrastructure • Developing and optimizing ELT/ETL pipelines • Ensuring data quality and consistency • Integrating data from various logistics systems
If you meet the qualifications and are eager to contribute to a data-driven organization, we encourage you to apply.
You'll be taken to the original listing on PNet to apply.