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Join a forward-thinking company as a Manager of Data Engineering, where you will lead a dynamic team in developing and optimizing data flow processes. This role offers a chance to architect scalable solutions using cutting-edge technologies like Azure Synapse and Azure Data Factory. Collaborate with cross-functional teams to ensure data integrity and quality while managing operations and driving innovation. With a hybrid work schedule and competitive benefits, this position is perfect for those looking to make a significant impact in the data landscape of a leading restaurant group.
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Join to apply for the Manager, Data Engineering role at Panda Restaurant Group
Summary Of Job Description
The Manager, Data Engineering is responsible for leading the development and operations of the data engineering team to deliver end-to-end data flow processes across applications, systems, and various data sources and targets in the company’s data ecosystem. This position develops and maintains ETL processes to ensure the timely and accurate movement of data across various systems while optimizing for performance and reliability. The Manager, Data Engineering collaborates with cross-functional teams to integrate data from diverse sources, ensuring data consistency, quality, and reliability.
You’ll Get a Chance To
How We Reward You
Your Background And Experience
Pay Range: M2: $112,500 - $158,000 / Annual
Within the range, individual pay is determined by location and experience.
Panda Strong Since 1983
Founded in Glendale, California, we are now the largest family-owned American Chinese restaurant chain in America, with nearly 2,300 locations globally. We are committed to delivering exceptional Asian dining experiences and fostering a community where people can improve their lives, guided by family values.
You’re Wanted Here
We value diversity and workplace equality, which foster creative ideas, diverse perspectives, and overall happiness. Panda Restaurant Group, Inc. is an Equal Opportunity Employer and complies with all applicable laws. If accommodations are needed, contact our accommodation team via email at PandaLOA@PandaRG.com.