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 data quality and integration.
The company is seeking a Senior Data Engineer to enhance their data infrastructure, particularly in the logistics and supply chain sectors. In this role, you will be responsible for designing, building, and maintaining scalable data systems that provide secure and real-time access to critical operational data. Your work will directly impact the efficiency and accuracy of data across various platforms, ensuring that data is integrated seamlessly from systems like WMS, TMS, and ERP.
As a Senior Data Engineer, your daily tasks will involve developing ETL/ELT pipelines, validating data quality, and ensuring data completeness and consistency. You will also monitor data latency and address any issues that arise, contributing to the overall reliability of the data infrastructure. You will collaborate closely with other team members to onboard new data sources and improve existing processes.
This position is well-suited for individuals with at least 3-5 years of experience in data engineering, particularly those who have worked in logistics or supply chain environments. Familiarity with tools such as Apache Airflow, SSIS, or Azure Data Factory will be beneficial. A strong understanding of SQL and data quality management practices is essential for success in this role. If you are passionate about data and enjoy working in a collaborative setting, this could be the perfect opportunity for you.
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