Data Engineer

[MUST: BACKGROUND LOGISTIC or MANUFACTURE]

Job Description:

• Manage and execute data migration projects, ensuring seamless transfer of data across systems with minimal downtime or errors.
• Perform detailed analysis of data to derive actionable insights and support decision-making processes.
• Utilize Manhattan Scale for supply chain data management, ensuring that the data flows correctly within the logistics and manufacturing environments.
• Leverage Azure cloud tools and services to build and optimize data pipelines, ensuring high performance and scalability.
• Work closely with cross-functional teams, including data scientists, analysts, and software developers, to enhance data systems and infrastructure.
• Continuously improve data processing, storage, and reporting systems to ensure efficiency, accuracy, and reliability.

Job Requirement:

• 3-5 years of experience as a Data Engineer, in a manufacturing or logistics environment.
• Strong experience with Manhattan Scale for managing logistics data and processes.
• Solid knowledge of Azure data services, including Azure Data Factory, Azure SQL Database, and related tools.
• Experience in data migration, ensuring the smooth transfer of large datasets between systems.
• Proficient in SQL, ETL processes, and data warehousing techniques.